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.

• 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.

• 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.

• 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.

• 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.