Today, when you go to your doctor and get referred to a specialist, your doctor sends out a referral and tells you, “They’ll be in touch soon.” So you wait. And wait. Sometimes days, weeks, or even months. Why? Because too often providers are overwhelmed with the painstakingly tedious work required to get paid by insurance companies. Powered by proprietary models, Tennr handles the complex paperwork that gets patients through the door and providers paid, helping operators to capture more referrals, cut denials, and reduce care delays.

Worked on route planning for autonomous vehicles.

Designed and implemented an alerting feature for an internal Lyft business metric dashboard tool.

Implemented the backend, team-specific metric retrieval and alerting library (golang), iterated & deployed the alerting service (golang), developed frontend alerting workflow (next.js), and worked directly with business operation stakeholders to create financial-specific alerts and get feedback on the alerting feature for more iteration.

Implemented distributed data processing jobs in Python using Apache Spark (Pyspark) and Lyft's open-source data processing platform, Flyte, and evaluated quality of data pipeline as part of the Map Ingestion team at Lyft.

Jobs downloaded, processed, stored, & surfaced the latest additions and modifications to openly-sourced map data and metadata for internal use-cases.

Implemented an internal API service in C++ using Google’s internal RPC and server framework as part of a Google Physical Security Engineering team.

The API Service retrieves an image frame from a video file at a particular timestamp as part of the team’s infrastructure.

Implemented the server binary and service implementation in C++, implemented a protobuf API interface for the service, and uploaded the server binary to Google’s internal machine management system to actively run and serve requests.