2024 — Now
San Francisco Bay Area
Working on internal tools for Doordash's Experimentation Platform.
Developing workflows to configure experiments and feature flagging.
Expanding tools to simulate and test experiment configurations for millions of users.
Enhanced experiment discoverability, filtering, searching, and emergency rollback & deployment of experiment configurations.
Mainly focused on merchant integrations and inventory management.
Developed full stack inventory management tools focusing on file translations and ingestion.
Automated CSV parsing and ingestion services, saving $100k+ annually and reducing hiring needs.
Maintained legacy codebases and executed live service migrations while maintaining service SLOs.
United States
Developed scalable reusable components for handling real-time streaming and bulk data processing.
Implemented window virtualization to reduce the number of DOM elements rendered by over 95%.
Designed APIs to facilitate node and python backend data queries with redux state management.
Reduced UX latency for map-based navigation and search through debouncing and caching strategies.
2018 — 2020
Mountain View
Redesigned technical tools to modularize quality assurance workflows, increasing throughput by 50%.
Built SQL dashboards for data-driven product timelines, where no data analysis had existed.
Launched and scaled multiple cross-geographical remote teams to outsource high-cost job functions.
Mountain View
Created a structure and training program to scale an operations team.
Prototyped map-building tools and advised the engineering team with lists of needed functionality.
Led live customer facing tech demos for potential strategic partnerships.
Mountain View, CA
Conducted comprehensive testing of user-facing tools and interfaces for cross-functional teams.
Documented workflows and created technical walkthrough tutorial videos for training.
Audited quality assurance workflows and reported software issues to engineering teams.