Tech Day 2018: Going Global

Uber Tech Day 2018: Going Global, sponsored by Uber’s women in technology group, LadyEng, is an all-day conference dedicated to exploring how Uber scales our technologies for global growth, empowering millions of riders and drivers in over 600 cities and 70+ countries. Going Global is a full-day of keynote presentations, lightning tech talks, and a panel discussion on theme with speakers from the greater tech community. This conference will highlight the ways in which our tech teams build and localize the solutions necessary to ensure that our services can scale reliably and extensively. Topics will include machine learning, infrastructure, data science, product and much more. Following the event, we invite all attendees to join us for light hors d'oeuvres and the opportunity to connect and converse with fellow attendees, speakers and members of the LadyEng community.

Speakers

Schedule

  • 19 April

Raquel Urtasun

Keynote

Raquel Urtasun is the Head ofUber ATG Toronto. She is also an Associate Professor in the Department of Computer Science at theUniversity of Toronto, a Canada Research Chair in Machine Learning and Computer Vision and a co-founder of theVector Institute for AI. She received her Ph.D. degree from the Computer Science department atEcole Polytechnique Federal de Lausanne (EPFL) in 2006 and did her postdoc atMIT andUC Berkeley. She is a world leading expert in machine perception for self-driving cars. Her research interests include machine learning, computer vision, robotics and remote sensing. Her lab was selected as an NVIDIA NVAIL lab. She is a recipient of an NSERC EWR Steacie Award, an NVIDIA Pioneers of AI Award, a Ministry of Education and Innovation Early Researcher Award, three Google Faculty Research Awards, an Amazon Faculty Research Award, a Connaught New Researcher Award and two Best Paper Runner up Prize awarded at CVPR in 2013 and 2017 respectively. She is also an Editor of the International Journal in Computer Vision (IJCV) and has served as Area Chair of multiple machine learning and vision conferences (i.e., NIPS, UAI, ICML, ICLR, CVPR, ECCV).

19 April

Celina Mikolajczak

Keynote

Celina Mikolajczak joined Uber in 2018 as Director of Engineering, Energy Storage Systems. She leads battery technology development for the Advanced Projects Team, which includes the Elevate program.

Celina came from Tesla Motors where she was the Senior Manager for Cell Quality and Materials Engineering. In that role, Celina worked directly with multiple major cell suppliers to develop cells with required safety, cycle and storage life, and reliability performance, as well as compatibility with Tesla manufacturing processes. She developed techniques to assess cell construction with regard to long-term reliability and safety performance, managed Tesla li-ion, lead acid and li primary cell quality activities and conducted failure analysis on cells and batteries to drive cell production and design improvements. Celina also lead Tesla regulatory activities related to lithium-ion cells and battery packs.

Prior to joining Tesla Motors, Ms. Mikolajczak was a Senior Managing Engineer at Exponent, an Engineering Consulting Firm. While at Exponent, Ms. Mikolajczak developed an expertise in lithium-ion battery failure.

19 April

Vivienne Ming

Keynote

Dr. Vivienne Ming was named one of 10 Women to Watch in Tech by Inc. Magazine, she is a theoretical neuroscientist, entrepreneur, and author. She co-founded Socos Labs, her fifth company, an independent think tank exploring the future of human potential. Dr. Ming launched Socos Labs to combine her varied work with that of other creative experts and expand their impact on global policy issues, both inside companies and throughout our communities. Previously, Vivienne was a visiting scholar at UC Berkeley's Redwood Center for Theoretical Neuroscience, pursuing her research in cognitive neuroprosthetics. In her free time, Vivienne has invented AI systems to help treat her diabetic son, predict manic episodes in bipolar suffers weeks in advance, and reunited orphan refugees with extended family members. She sits on boards of numerous companies and nonprofits including StartOut, The Palm Center, Cornerstone Capital, Platypus Institute, Shiftgig, Zoic Capital, and SmartStones. Dr. Ming also speaks frequently on her AI-driven research into inclusion and gender in business. For relaxation, she is a wife and mother of two.

19 April

Alisa Dwyer

Partner Talk

Alisa Dwyer is on the Partner Engagement team at Girls Who Code, which works with technology companies to inspire girls to pursue computer science and close the gender gap in tech. She's worked previously in corporate volunteer engagement at a number of youth development organizations, including Juma Ventures San Francisco and City Year New York. After graduating from Loyola Marymount University with a B.A. in Communication Studies and Journalism, Alisa worked as an Americorps volunteer in a public school in East Harlem, NY.

19 April

Tiana Kara

Partner Talk 

Tiana Davis Kara, strategist and seasoned media geek, currently leads Partnerships + Growth for #BUILTBYGIRLS. She oversees partner development and builds strategic alliances for the social impact brand; furthering its mission to empower the next wave of tech leaders, builders and creators. Previously she worked with Black Girls CODE leading brand partnerships that furthered the organization's efforts to increase STEM education opportunities for girls of color. With over 11 years of marketing experience, she's traveled and worked in over 20 countries leading creative collaborations and building cultural relevance for global brands. When she’s not on a plane or glued to her laptop, she’s snapping photos as a freelance photographer in quirky, beautiful Crown Heights, Brooklyn.

19 April

Tara Chklovski

Partner Talk 

Tara's mission in life has been to transform the opportunities available to young people, especially girls, to reach their full-potential and impact their communities. Tara founded Iridescent in 2006 to empower underrepresented young people, especially girls, to become technology innovators and leaders.

Iridescent has since grown to a community of over 7,000 mentors and more than 100,000 participants across 100+ countries through its flagship programs Curiosity Machine and Technovation. Forbes highlighted Tara in 2016 as “the pioneer empowering the incredible tech girls of the future” and she was prominently featured in the award-winning documentary Codegirl.

Also in 2016, Tara was honored by Discovery’s Science Channel as the first inaugural CEO Science Super Star Hero for igniting passion for science and encouraging the next generation of innovators, problem solvers and game changers. A frequent speaker for her thought leadership in STEM education, she recently presented Iridescent’s work at the White House STEM Inclusion Summit and at the UN. Tara earned her BS in Physics from St. Stephen’s College and a MS in aerospace engineering from Boston University. Tara left her PhD program in aerospace engineering at USC to pursue her social entrepreneurship to found Iridescent and directly empower girls and children everywhere.

19 April

Bo Young Lee

Bo leads Uber’s Diversity and Inclusion efforts in the company, with our stakeholders, and in the communities where we operate. Bo partners with senior leadership including its CEO, Dara Khosrowshahi, to build a work culture where radically diverse and inclusive teams drive innovation, accelerate growth, and build a work culture and systems were all employees have the opportunity to excel and grow to their highest potential.

Prior to joining Uber, Bo was the first Global Diversity and Inclusion Officer for the Risk and Insurance Services businesses for Marsh and McLennan Companies. Bo also launched and led Aon/Hewitt Associates’ Global Emerging Workforce Solutions consulting practice and held diversity leadership roles at Ernst & Young and National Grid. Bo also served as a Director of Advisory Services at Catalyst, the leading non-profit focused on the advancement of women in business. As a consultant and thought leader, Bo has enabled dozens of clients to achieve their diversity & inclusion goals. Past clients include Marriott International, Northern Trust, John Deere, Allstate, Booz & Co., Discover, Aon, Human Rights Campaign, and McKesson. Bo has an MBA with distinction from New York University’s Stern School of Business and a BBA magna cum laude from the University of Michigan’s Ross School of Business. She is a frequently sought after speaker and has been featured in The Wall Street Journal, The Huffington Post, MSNBC, Business Insurance, and other media outlets and conferences. She lives in New
York City with her husband, daughters, Annabelle and Beatrice, and Betty the dog.

19 April

Kate Parker

Kate Parker is Uber's Head of Safety & Insurance Brand, where she focuses on the global protection of drivers, riders and the 600+ cities Uber serves. She has 10+ years experience in corporate social responsibility. Prior to Uber, Kate built Made with Code — Google's initiative to inspire millions of girls to experience coding (less than 1% of high school girls express interest in computer science). Previously, Kate led Global Communications and Public Affairs for Google’s $1 billion philanthropy arm. Kate's work is the recipient of a Webby's Award for Corporate Social Responsibility, and earned a short-list for Cannes’ inaugural Glass Lion — honoring 'ideas intended to change the world.' Kate earned a Masters in Public Administration and a Bachelor’s degree from the University of Pennsylvania.

19 April

Ann Bordetsky

Panel Moderator 

Ann Bordetsky leads Product Partnerships at Uber, working closely with tech teams to launch new products and strategic initiatives to expand Uber's transportation platform. Ann is also a founder and Chair of Women of Uber, a thriving global community focused on advancing women in the workplace. A passionate advocate and innovator at heart, Ann seeks out opportunities to build transformative companies. She previously led commerce BD at Twitter, and BD for two innovative mobility startups. Ann holds an MBA from Stanford, and prior to catching the tech bug worked in environmental advocacy for the Natural Resources Defense Council in DC.

19 April

Sophia Vicent

Panelist

Sophia Vicent is the founding member of the Technical Program Management team at Uber and built the team of 25 people over her four year tenure at Uber. The TPM team partners with engineering and product to deliver complex cross-functional programs in security, compliance, infrastructure and product. She is currently driving the engineering work for the GDPR compliance initiative. Prior to Uber she took ten years “off” to raise her daughter, now 14. Before this break she worked for several startups, including NetGravity, which was acquired by DoubleClick and (subsequently bought by Google to provide internet ad serving solutions). Her early career was spent building large customer systems for utility clients at Accenture.

19 April

Mariam Braimah

Panelist

Mariam is a product designer at Netflix helping shape the global non member user experience to drive customer growth & acquisition. She’s currently design lead for the company's mobile & desktop sign up/onboarding efforts. Prior to Netflix, Mariam headed a cross functional research and design team at public data tech startup, Inflection, and studied History of Art & Architecture at Harvard University.

19 April

Elena Grewal

Panelist

As the leader of Airbnb’s Data team, Elena is responsible for driving the strategy for how Airbnb uses data for decision making and to infuse products and processes with algorithms. Before Airbnb she completed a PhD in Education from Stanford, studying social networks in schools and building statistical models to predict when students would form friendships with a student from a different race or socioeconomic background. She started as one of the first data scientists at the company, where her initial work set up frameworks for understanding the impact of company initiatives and to improve the user experience by using data at scale. She led efforts to diversity the data science team and writes and speaks about building diverse technical teams.

19 April

Dawn Baker

Panelist

Dawn is a senior engineering manager with a passion for developing the capacity of individuals, teams, and organizations. She is currently the Senior Director of software engineering at Fitbit where she leads the global backend platforms and tools teams and is currently engaged in initiatives such as continuous delivery, monolith decomposition, and infrastructure optimization. Dawn joined Fitbit from the site reliability team at Linkedin. In prior roles, Dawn has managed infrastructure, operations, networking, data and software development teams in organizations of every size, including a particularly grueling stint with a successful startup coming out of the technology bubble. Dawn’s experience also includes management and operations consulting for software and managed hosting firms.

19 April

Amit Kumar

Panelist

Amit Kumar is an early stage partner at Accel. He joined Accel in 2016 and focuses on consumer-facing startups with an emphasis on social, gaming, esports, VR/AR, crypto, and payments. Amit led Accel’s investment in Smash.gg and works closely with the teams at Plays.tv, Cornershop, Deserve, and UserTesting. Previously, Amit co-founded Accel-backed CardSpring, a payments infrastructure company, where he led engineering for its developer-facing API platform. Twitter subsequently acquired CardSpring, where Amit led engineering for several of Twitter’s commerce and customer service initiatives. Amit graduated from the University of California, Berkeley with a degree in electrical engineering and computer science.

19 April

NG

Nikhil Goel

Big Bold Bets
Product Track

Uber is all about taking big bold bets to improve customer experiences and create better products. In this talk, product manager Nikhil Goel discusses how Uber thinks about innovation and zero-to-one bets in aviation, sensors & perception, food delivery, AI, and other areas.

19 April

MJ

Molly Stevens and Jeannette Mellinger

Scaling Insights Globally
Product Track

How has Uber's UX Research team been able to scale their data collection and insight creation with Uber's growth? In this talk, UX Research Director Molly Stevens and UX research manager Jeannette Mellinger share techniques their team uses to generate insights that improve Uber's products.

19 April

ND

Nancy Douyon

Global Scalable Research: Design Efficiently Through Informed International Insights
Product Track

Uber's Global Scalable Research program provides insights that empowers teams to design and test new products and features that improve user experiences in markets across the world. In this talk, UX researcher Nancy Douyon discusses how our Global Research team determines which products to prioritize in regional markets, as well as better understand if their designs translate well to non-US users.

19 April

SG

Stephanie Siow and Gayatri Kaul

Global Access to Opportunity with Uber
Product Track

Uber’s Driver Access team is responsible for building the entrypoint for joining the Uber platform. In this presentation, product manager Stephanie Siow and software engineer Gayatri Kaul discuss how Uber takes into account local regulations and culture to customize onboarding for different markets.

19 April

SG

Sreeta Gorripaty

What's My ETA? The Billion <currency> Question
Product Track

Accurate and reliable ETAs (Estimated Time of Arrival) are central to a seamless and enjoyable rider experience. In this talk, data scientist Sreeta Gorripaty will discuss how Uber predicts ETAs via routing algorithms, traffic estimation, and machine learning models.

19 April

KB

Kristen Brophy

We're Better Together
Product Track

Collaboration is key when it comes to successful product launches. In this presentation, product marketing manager Kristen Brophy shares tips for collaborating with your PMMs at every stage in the product development lifecycle to launch international products.

19 April

I

Irina Stanescu

From Tap To Taste Buds: Life of an Uber Eats Order
Product Track

Uber Eats is a 3-sided marketplace that helps millions of hungry users around the world access their favorite meals at the tap of a button. In this presentation, software engineer Irina Stanescu follows the life of an Uber Eats order, from discovering restaurants and dishes, creating and placing an order, to preparing and delivering food that makes taste buds happy.

19 April

TN

Trupti Natu

Uber Eats: Driving Global Fraud Losses Down While Empowering Business Growth
Product Track

Uber Risk uses AI and machine learning models to reduce global fraud losses on our platform. Through the lens of Uber Eats, risk strategy analyst Trupti Natu discusses how Uber drives fraud loss rates down while simultaneously growing the business and improving user experiences.

19 April

AG

Ana Garcia

Using Data to Keep Rides Quality High Internationally
Product Track

How does Uber ensure high trip quality regardless of variables (car quality, network connectivity, etc.) outside of our control? In this talk, analytics and insights manager Ana Garcia answers that question by discussing how Uber’s Brazil team leverages customer support tickets and ML for predicting and addressing trip quality issues.

19 April

MA

Megha Jain and Ashima Jain

Exploring the World Of Fleets
Product Track

For drivers who cannot afford to buy their own vehicles, joining an Uber Fleet opens the door to economic opportunity. In this presentation, product manager Megha Jain and software engineer Ashima Jain discuss the impact of and the technical challenges behind engineering our a P2P product platform to support fleets.

19 April

JF

Jing Fan

Powering Real-time Analytics @ Uber
Infrastructure Track

Uber uses streaming analytics for large-scale event processing. In this talk, software engineer Jing Fan provides an overview of Uber's streaming platform architecture and share use cases that show teams use this technology to power real-time analytics.

19 April

EL

Evelyn Liu

Build and Replication of Docker Images at Uber
Infrastructure Track

Uber's Cluster Management team is responsible for managing tens of thousands of microservices, as well as building and distributing service artifacts. In this presentation, software engineer Evelyn Liu discusses our current approach to cluster management and how Uber is developing a build and distribution platform capable of scaling for future growth.

19 April

HW

Hua Wang

Leveraging Elastic for Logging and Search
Infrastructure Track

Uber leverages the Elastic stack to support logging and search applications. Software engineer Hua Wang covers some of our Elastic use cases, touching on our journey to evolve these technologies for Uber’s growth.

19 April

TC

Ting Chen

Advanced Technology in Risk Management
Infrastructure Track

Uber’s risk management technologies must keep up with the ever-evolving fraud landscape. In this talk, data science manager Ting Chen shares some of Uber's recently developed risk management solutions, including GPS spoofing detection, Long Short Term Memory (LSTM) for user behavior classification, and Uber's knowledge graph.
YP

Yi-Chia Wang and Piero Molino

COTA: Improving Uber Customer Care with NLP, ML & DL
Infrastructure Track

COTA is Uber’s solution for improving the speed and reliability of customer support via automated ticket classification and response selection. In this talk, data scientist Yi-Chia Wang and senior research scientist Piero Molino demonstrate how Uber leverages natural language processing and deep learning to power COTA.

19 April

B

Brittany Walentin, Monica To, and Carissa Blossom

Software Networking at Uber Through the Ages
Infrastructure Track

Come on a journey through space, time, and software networking with Uber Engineering! In this presentation, software engineers Brittany Walentin, Monica To, and Carissa Blossom will cover how software networking at Uber evolved to meet the needs of its hypergrowth.

19 April

NR

Neha Gupta and Radhika Anand

Driving Business Strategy with Machine Learning (ML)
Infrastructure Track

Uber is one of a growing group of Silicon Valley companies that use ML to inform strategic business decisions. In this talk, data science manager Neha Gupta and data scientist Radhika Anand discuss how Uber’s Finance Data Science team uses deep learning, forecasting, and other ML methods for financial planning.

19 April

YZ

Yifan Zhang

From San Francisco to the World: Internalization/i18n at Uber
Infrastructure Track

Uber leverages both localization and internalization tools to ensure that our platform can be seamlessly roll out to new markets. In this presentation, software engineer Yifan Zhang discusses how internalization helps us expand globally.

19 April

IV

Ines Viskic

The Evolution of World Map Computing Quality
Infrastructure Track

Uber developed a highly robust and scalable system for metrics computation. In this talk, software engineer Ines Viskic discusses how this system uses Spark’s parallel processing framework to partition map data and compute metrics using only 100 CPU cores--or less.

19 April

HC

Haijun Cao

UQL Schema
Infrastructure Track

Universal Query Language (UQL) is a unified schema language that helps tie multiple data storage technologies and their schema together. In this presentation, software engineer Haijun Cao an overview of how to use UQL at scale.

19 April

X

Xun Kang & Adrianne Soike

Flow, Uber’s IFTTT Engine
Platform Track

If This Then That (IFTTT), a web-based service that creates chains of conditional statements, is an effective way to manage dynamic workflows. In this talk, software engineers Xun Kang and Adrianne Soike share how we built Flow, Uber’s IFTTT engine, to manage thousands of workflows across the globe.

19 April

LT

Linh Tran

Marketplace Investments
Platform Track

For millions of users, the average Uber trip lasts only 15 minutes, but on the backend, planning a trip can take several months. In this presentation, product manager Linh Tran walks through how Uber sets strategic financial decisions months in advance and executes them in real time to ensure seamless and reliable trip experiences.

19 April

FB

Fran Bell

Machine Learning at Uber
Platform Track

Machine learning (ML) is a fundamental decision making tool for Uber’s business. In this talk, data science manager Fran Bell provides an overview of how Uber leverages ML to make intelligent decisions across trip environments and the infrastructure choices teams make to quickly iterate and deploy solutions at scale.

19 April

ML

Molly Long

Creating Your Identity

User Signup is the entrypoint to the Uber Platform. In this presentation, software engineer Molly Long will cover the evolution of rider sign ups at Uber with respect to Uber’s rapid growth, as well as the various requirements for each market and product.
CS

Chunyan Song

Applied AI In Financial Forecasting
Platform Track

Uber uses data science and machine learning to enable more strategic financial forecasting and planning, paving the way for the continued growth of the business. In this talk, software engineer Chunyan Song covers some of Uber's latest innovations in this field.

19 April

NS

Nimish Sheth

Payments at Uber
Platform Track

Uber’s payments architecture is composed of two main parts: collections and disbursements. In this presentation, staff software engineer Nimish Sheth gives attendees a closer look at our high-level payments stack, core data models, and cash money movements.

19 April

SS

Shimul Sachdeva

Cash Safety at Uber
Platform Track

The Uber Safety team's goal is to ensure that users have a secure and seamless experience on our apps no matter where they are. In this talk, engineering manager Shimul Sachdeva into a case study on how Uber ensures the safety of cash payments worldwide.

19 April

AA

Anwaya Aras

Communications Platform at Uber
Platform Track

To maintain high service reliability and deliverability in global markets, it is important to create sustainable communications platforms that can accommodate edge cases. In this talk, software engineer Anwaya Aras discusses how Uber builds localized and internationalized communication technologies.

19 April

C

Caroline Van den Hauwe

Ensuring Reliability of Uber’s Many Different Ways to Pay in 3 Hard Learned Lessons
Platform Track

Believe it or not, there are over 25 distinct ways to pay for services on the Uber platform. In this presentation, software engineer Caroline Van den Hauwe will take the audience on a journey through her experience building the monitoring and debugging tools that help keep Uber's payments systems safe and reliable.



19 April

TY

Tal Yeshanov

Using Analytics to Stop Fraudsters
Platform Track 

Stopping fraud on the Uber platform is mission critical to the success and sustainability of our business. In this talk, risk strategy analyst Tal Yeshanov will explore how Uber's Payment Risk Analytics Team detects and mitigates global fraudulent behaviors using analytics.

19 April

Check-in & Breakfast

08:00 AM 09:00 AM Lobby

Welcome!

09:00 AM 09:10 AM Golden, Gate, Bridge

Keynote- Raquel Urtasun

09:10 AM 09:50 AM Golden, Gate, Bridge

Speakers

Keynote- Celina Mikolajczak

09:50 AM 10:30 AM Golden, Gate, Bridge

Speakers

Break

10:30 AM 10:40 AM Lobby

Infrastructure

Software Networking at Uber through the Ages

10:40 AM 11:05 AM Golden Room

Come on a journey through space, time, and software networking with Uber Engineering! In this presentation, software engineers Brittany Walentin, Monica To, and Carissa Blossom will cover how software networking at Uber evolved to meet the needs of its hypergrowth.

Speakers

Platform

Machine Learning at Uber

10:40 AM 11:05 AM Gate Room

Machine learning (ML) is a fundamental decision making tool for Uber’s business. In this talk, data science manager Fran Bell provides an overview of how Uber leverages ML to make intelligent decisions across trip environments and the infrastructure choices teams make to quickly iterate and deploy solutions at scale.

Speakers

Product

Global Scalable Research: Design Efficiently through Informed International Insights

10:40 AM 11:05 AM Bridge Room

Uber's Global Scalable Research program provides insights that empowers teams to design and test new products and features that improve user experiences in markets across the world. In this talk, UX researcher Nancy Douyon discusses how our Global Research team determines which products to prioritize in regional markets, as well as better understand if their designs translate well to non-US users.

Speakers

Infrastructure

Advanced Technology in Risk Management

11:05 AM 11:30 AM Golden Room

Uber’s risk management technologies must keep up with the ever-evolving fraud landscape. In this talk, data science manager Ting Chen shares some of Uber's recently developed risk management solutions, including GPS spoofing detection, Long Short Term Memory (LSTM) for user behavior classification, and Uber's knowledge graph.
Platform

Creating Your Identity

11:05 AM 11:30 AM Gate Room

User Signup is the entrypoint to the Uber Platform. In this presentation, software engineer Molly Long will cover the evolution of rider sign ups at Uber with respect to Uber’s rapid growth, as well as the various requirements for each market and product.
Product

Big Bold Bets

11:05 AM 11:30 AM Bridge Room

Uber is all about taking big bold bets to improve customer experiences and create better products. In this talk, product manager Nikhil Goel discusses how Uber thinks about innovation and zero-to-one bets in aviation, sensors & perception, food delivery, AI, and other areas.

Speakers

Infrastructure

Powering Real-time Analytics @ Uber

11:30 AM 11:55 AM Golden Room

Uber uses streaming analytics for large-scale event processing. In this talk, software engineer Jing Fan provides an overview of Uber's streaming platform architecture and share use cases that show teams use this technology to power real-time analytics.

Speakers

Platform

Marketplace Investments

11:30 AM 11:55 AM Gate Room

For millions of users, the average Uber trip lasts only 15 minutes, but on the backend, planning a trip can take several months. In this presentation, product manager Linh Tran walks through how Uber sets strategic financial decisions months in advance and executes them in real time to ensure seamless and reliable trip experiences.

Speakers

Product

What's My ETA? The Billion <currency> Question

11:30 AM 11:55 AM Bridge Room

Accurate and reliable ETAs (Estimated Time of Arrival) are central to a seamless and enjoyable rider experience. In this talk, data scientist Sreeta Gorripaty will discuss how Uber predicts ETAs via routing algorithms, traffic estimation, and machine learning models.

Speakers

Lunch

11:50 AM 01:00 PM

Diversity and Inclusion Fund

12:15 PM 12:20 PM Golden, Gate, Bridge

Speakers

Partner Talks

12:20 PM 12:35 PM Golden, Gate, Bridge

Speakers

Safety Initiatives for Women

12:35 PM 12:40 PM Golden, Gate, Bridge

Speakers

Keynote- Vivienne Ming

01:00 PM 01:40 PM Golden, Gate, Bridge

Speakers

Break

01:40 PM 01:50 PM Lobby

Infrastructure

COTA: Improving Uber Customer Care with NLP, Machine Learning & Deep Learning

01:50 PM 02:15 PM Golden Room

COTA is Uber’s solution for improving the speed and reliability of customer support via automated ticket classification and response selection. In this talk, data scientist Yi-Chia Wang and senior research scientist Piero Molino demonstrate how Uber leverages natural language processing and deep learning to power COTA.

Speakers

Platform

Applied AI In Financial Forecasting

01:50 PM 02:15 PM Gate Room

Uber uses data science and machine learning to enable more strategic financial forecasting and planning, paving the way for the continued growth of the business. In this talk, software engineer Chunyan Song covers some of Uber's latest innovations in this field.

Speakers

Product

Global Access to Opportunity with Uber

01:50 PM 02:15 PM Bridge Room

Uber’s Driver Access team is responsible for building the entrypoint for joining the Uber platform. In this presentation, product manager Stephanie Siow and software engineer Gayatri Kaul discuss how Uber takes into account local regulations and culture to customize onboarding for different markets.

Speakers

Infrastructure

Leveraging Elastic for Logging and Search

02:15 PM 02:40 PM Golden Room

Uber leverages the Elastic stack to support logging and search applications. Software engineer Hua Wang covers some of our Elastic use cases, touching on our journey to evolve these technologies for Uber’s growth.

Speakers

Platform

Flow, Uber’s If This Then That (IFTTT) Engine

02:15 PM 02:40 PM Gate Room

IFTTT, a web-based service that creates chains of conditional statements, is an effective way to manage dynamic workflows. In this talk, software engineers Xun Kang and Adrianne Soike share how we built Flow, Uber’s IFTTT engine, to manage thousands of workflows across the globe.

Speakers

Product

We're Better Together

02:15 PM 02:40 PM Bridge Room

Collaboration is key when it comes to successful product launches. In this presentation, product marketing manager Kristen Brophy shares tips for collaborating with your PMMs at every stage in the product development lifecycle to launch international products.

Speakers

Break

02:40 PM 02:50 PM

Lighting Talk- Infrastructure

The Evolution of World Map Computing Quality

02:50 PM 03:00 PM Golden Room

Uber developed a highly robust and scalable system for metrics computation. In this talk, software engineer Ines Viskic discusses how this system uses Spark’s parallel processing framework to partition map data and compute metrics using only 100 CPU cores--or less.

Speakers

Lighting Talk- Platform

Payments at Uber

02:50 PM 03:00 PM Gate Room

Uber’s payments architecture is composed of two main parts: collections and disbursements. In this presentation, staff software engineer Nimish Sheth gives attendees a closer look at our high-level payments stack, core data models, and cash money movements.

Speakers

Lightning Talk- Product

From Tap To Taste Buds: Life of an Uber Eats Order

02:50 PM 03:00 PM Bridge Room

Uber Eats is a 3-sided marketplace that helps millions of hungry users around the world access their favorite meals at the tap of a button. In this presentation, software engineer Irina Stanescu follows the life of an Uber Eats order, from discovering restaurants and dishes, creating and placing an order, to preparing and delivering food that makes taste buds happy.

Speakers

Lighting Talk- Infrastructure

UQL Schema

03:00 PM 03:10 PM Golden Room

Universal Query Language (UQL) is a unified schema language that helps tie multiple data storage technologies and their schema together. In this presentation, software engineer Haijun Cao an overview of how to use UQL at scale.

Speakers

Lighting Talk- Platform

Cash Safety at Uber

03:00 PM 03:10 PM Gate Room

The Uber Safety team's goal is to ensure that users have a secure and seamless experience on our apps no matter where they are. In this talk, engineering manager Shimul Sachdeva into a case study on how Uber ensures the safety of cash payments worldwide.

Speakers

Lightning Talk- Product

Uber Eats: Driving Global Fraud Losses Down While Empowering Business Growth

03:00 PM 03:10 PM Bridge Room

Uber Risk uses AI and machine learning models to reduce global fraud losses on our platform. Through the lens of Uber Eats, risk strategy analyst Trupti Natu discusses how Uber drives fraud loss rates down while simultaneously growing the business and improving user experiences.

Speakers

Lighting Talk- Infrastructure

Driving Business Strategy with Machine Learning

03:10 PM 03:20 PM Golden Room

Uber is one of a growing group of Silicon Valley companies that use ML to inform strategic business decisions. In this talk, data science manager Neha Gupta and data scientist Radhika Anand discuss how Uber’s Finance Data Science team uses deep learning, forecasting, and other ML methods for financial planning.

Speakers

Lighting Talk- Platform

Communications Platform at Uber

03:10 PM 03:20 PM Gate Room

To maintain high service reliability and deliverability in global markets, it is important to create sustainable communications platforms that can accommodate edge cases. In this talk, software engineer Anwaya Aras discusses how Uber builds localized and internationalized communication technologies.

Speakers

Product

Exploring the World Of Fleets

03:10 PM 03:20 PM Bridge Room

For drivers who cannot afford to buy their own vehicles, joining an Uber Fleet opens the door to economic opportunity. In this presentation, product manager Megha Jain and software engineer Ashima Jain discuss the impact of and the technical challenges behind engineering our a P2P product platform to support fleets.

Speakers

Lighting Talk- Infrastructure

Build and Replication of Docker Images at Uber

03:20 PM 03:30 PM Golden Room

Uber's Cluster Management team is responsible for managing tens of thousands of microservices, as well as building and distributing service artifacts. In this presentation, software engineer Evelyn Liu discusses our current approach to cluster management and how Uber is developing a build and distribution platform capable of scaling for future growth.

Speakers

Lighting Talk- Platform

Ensuring Reliability of Uber’s Many Different Ways to Pay in 3 Hard Learned Lessons

03:20 PM 03:30 PM Gate Room

Believe it or not, there are over 25 distinct ways to pay for services on the Uber platform. In this presentation, software engineer Caroline Van den Hauwe will take the audience on a journey through her experience building the monitoring and debugging tools that help keep Uber's payments systems safe and reliable.

Speakers

Lightning Talk- Product

Scaling Insights Globally

03:20 PM 03:30 PM Bridge Room

How has Uber's UX Research team been able to scale their data collection and insight creation with Uber's growth? In this talk, UX Research Director Molly Stevens and UX research manager Jeannette Mellinger share techniques their team uses to generate insights that improve Uber's products.

Speakers

Lighting Talk- Infrastructure

From San Francisco to the World: Internalization/i18n at Uber

03:30 PM 03:40 PM Golden Room

Uber leverages both localization and internalization tools to ensure that our platform can be seamlessly roll out to new markets. In this presentation, software engineer Yifan Zhang discusses how internalization helps us expand globally.

Speakers

Lighting Talk- Platform

Using Analytics to Stop Fraudsters

03:30 PM 03:40 PM Gate Room

Stopping fraud on the Uber platform is mission critical to the success and sustainability of our business. In this talk, risk strategy analyst Tal Yeshanov will explore how Uber's Payment Risk Analytics Team detects and mitigates global fraudulent behaviors using analytics.

Speakers

Lightning Talk- Product

Using Data to Keep Rides Quality High Internationally

03:30 PM 03:40 PM Bridge Room

How does Uber ensure high trip quality regardless of variables (car quality, network connectivity, etc.) outside of our control? In this talk, analytics and insights manager Ana Garcia answers that question by discussing how Uber’s Brazil team leverages customer support tickets and ML for predicting and addressing trip quality issues.

Speakers

Break

03:40 PM 03:50 PM Lobby

Panel: Diverse Perspectives on Building Products for a Global Business

03:50 PM 04:40 PM Golden, Gate, Bridge

Speakers

Closing Remarks

04:40 PM 05:00 PM Golden, Gate, Bridge

Happy Hour & Networking

05:00 PM 06:30 PM Floor 6, Patio