• Led the creation of Uber's internal business process automation platform. A unified surface to automate high value business processes across the global covering marketing, operations, safety, risk, rewards and compliance. Current manages $50M+ spend yearly.• Built data analytical pipelines that generate actionable insights for 6600+ concurrent business processes and 50%+ Uber’s experimentation. Dealing with 50k+ QPS business events in near real-time via Flink stream processing.• Grew a strong engineering team from the ground up. Defined the vision and roadmap for the team.• Collaborated closely with partner engineering teams, data science teams, operation teams and marketing teams across disciplines and across the company globally.

• Tech Lead for Uber's intelligent CRM and proactive customer engagement platform that provides smart, integrated and personalized CRM experience throughout customer life cycle. Supporting 120+ outreach programs and connecting with $10M customers per year across business lines: rides, eats and freight.• Built the core intelligence part of the system - a powerful ranking engine that can be easily customized per business needs at a regional level. Identify and prioritize customer engagement, which increased operational efficiency and bumped up driver signup to first trip conversation rate by 20%.

* Tech Lead of data injection pipeline of Bing search index, which powers data injection into hundreds of billions of document in Bing's search index.* Brought enriched experience to entity panel appears at the right side of Bing search result. Comprehensive multimedia (audio/video) were added, including online courses and TED talks.

Built user mapping service, which provides mappings between different types of user entities for the same user across Microsoft ecosystem, thus we can build holistic and cohesive understanding of given user.

Worked on Content Analysis Algorithm Engines and Solution for Behavior Targeting - powers Microsoft Ads machine learning based targeting capability.