Santa Clara, California, United States
Backend Engineer with experience in building large-scale search infrastructure, architecting AI assistants, and orchestrating high-concurrency systems.
Consumer Search Experience Team - Implemented the core APIs for DoorDash’s generative AI search assistant - Streamlined the user purchase journey by implementing a direct-to-store navigation feature in autocomplete, reducing user friction and improving Search-to-Store conversion. Handling 300+ QPS with low latency and high availability - Developed an automated feature-flag cleanup bot using Cursor and custom rules, empowering the team to maintain code health and increase developer velocity. - Orchestrated the migration of core search pipelines from AWS Elasticsearch to an in-house Lucene-based search engine, achieving 40% latency reduction and significant cost savings while maintaining strict feature parity. Merchant Acquisition & Onboarding Team - Led the design and launch of a multi-location store onboarding system, coordinating a cross-functional team of 3 engineers to generate $13M in annual GMV. - Engineered a feature that enables users to request external stores relevant to search queries, Designed matching logic using Elasticsearch. Resulted in a 20x improvement in CTR. - Optimized Google Maps integration in the merchant selection intelligence data processing pipeline. Conducted in-depth analysis, reduced monthly Google Places API requests by 60M with a projected $950K annual cost saving.
Merchant Selection & Onboarding Team - Launched a new feature that offers multiple pricing packages for merchants when signing up.