Jan 2022 – Jan 2024 · 2 yrs

• Sr manager for Marketplace Dynamics - Pricing

Oct 2019 – Jan 2022 · 2 yrs 3 mos

• Marketplace Dynamics, Pricing, Cancellations.
• Managing 20+ engineers across backend, web, mobile, ML skill sets to support following product areas:
• Cancellation/Alteration policies and product experience.
• Pricing, fees, promotion management tools for hosts. Guest price displays and merchandising.
• Intelligent pricing, e.g. smart pricing, price tips.

Nov 2016 – Oct 2019 · 2 yrs 11 mos

• Managed 20+ engineers responsible for systems and models powering Uber Eats's Courier Pricing and Eater Pricing products
• These systems include dynamic pricing, promotions, fee calculations for eaters, delivery fee calculation for couriers, supply/demand forecasting, travel time predictions, etc, with the goal of improving efficiency for Uber Eats' marketplace, increasing earnings for couriers, lowering the cost for eaters, and to improve profitability for the Uber Eats business.

Jan 2016 – Nov 2016 · 10 mos

• Engineering Manager, Dispatch Service Infrastructure. Managed a team of 8 responsible for the reliability and scalability of Uber's real-time dispatch engine. Our work includes building custom storage layers, testing frameworks, traffic routing, and more.

Mar 2015 – Dec 2015 · 9 mos

• As a member of the Core Dispatch team, I contributed to a complete rewrite of Uber's real-time dispatch stack from monolith to microservices, the rewrite made the platform extensible for new business use cases such as UberRush, Uber Eats, while enabling >10x trip scale, with improved availability.
• My work touches various subjects: zero-downtime migration of stateful services, real-time geospatial indexing, NoSQL databases, networking stack, distributed systems design with availability/consistency tradeoffs, performance optimizations.

Oct 2012 – Mar 2015 · 2 yrs 5 mos

• 2014-2015: Worked on Mobile (iOS) performance and optimizations, including network optimization (GraphQL encoding, UDP priming), progressive JPEG rendering, analytics/performance logging, and more.
• 2012-2014: Worked on Ads Targeting. Worked on a wide range of stacks, including backend (C++/PhP/Hack/Java), frontend, and machine learning/data mining. My work includes:
• Ads Reach Estimation.
• User location modeling, and targeting capabilities.
• Dynamic user interest targeting, lookalike audiences.

Jul 2011 – Oct 2012 · 1 yr 3 mos

• Google Video Search team. Worked on web context extraction and indexing.
• Built Products Search (For Suppliers) from scratch, worked across the search architecture end-to-end.

Jan 2010 – Jan 2010 · 0 mo · Beijing

Jan 2010 – Jan 2010 · 0 mo · Beijing

• Web search team. Worked on machine learned-ranking.