Worked on both the Ground Truth & Autonomy Visualization teams. Some projects I've been involved with include:

• Productionizing the backend of our ML labeling infrastructure, enabling autonomy teams to request, validate, and consume petabytes of labeled data for model training.

• Writing performant & scalable gRPC microservices in Python backed by MongoDB/Redis/PostgreSQL storage layers to provide a reliable communications layer between our internal services.

• Building an easy-to-use layer on top of our core GCP infrastructure, enabling fully automated CI/CD, one-click ephemeral cloud environment setup, and streamlined Prometheus monitoring for my team.

• Diving deep into low-level C++ streaming code & finding optimizations to make multi-terabyte logs possible to stream over the web.

EECS 281 -- Data Structures & Algorithms

• Acting member of course staff for a class with over 800 students per semester.

• Hold office hours multiple times per week, and quickly assist students in debugging code.