Optimizing clinical operations and care with a unified platform powered by finely tuned LLMs.

Owned the Cruise ML runtime which executes all 50+ ML models in the autonomous vehicle stack. I oversaw cross functional feature prioritization, technical support, and knowledge sharing.Led three engineers to deliver a solution to centralize metadata/metrics of deployed ML models at Cruise. The project was conceived at an internal hackathon where it won two awards: People's Choice and Best Demo.Coordinated weekly team deep dives.

Wrote performant C++/CUDA programs which implement perception algorithms including mean shift clustering and voxelization to unblock ML model deployment.Optimized memory usage in the Cruise ML runtime saving over 1GB in GPU memory (~5% improvement) plus more in future model deployments by adding static buffer sharing capabilities.Decoupled PyTorch from the ML runtime to improve on road software stability.Evaluated SYCL as a candidate cross platform HPC programming solution.

Taught complexity theory to CMU undergraduates.

At Cruise Automation, I evaluated and adapted deep learning compiler technologies for deploying machine learning workloads to the autonomous vehicle. This involved getting familiar with Cruise's perception models, learning about deep learning compilers, making use of profiling tools, and adding features for Cruise's needs.I also developed on the Cruise machine learning inference runtime to unify and streamline the deployment of models onto the autonomous vehicle.

Taught machine learning concepts to undergraduate and master's students.

Designed and implemented infrastructure for fleet management, perception, and machine learning.

Educated students with little or no computing background in fundamental computing principles by leading weekly recitations and office hours.

Developed on GenAMap, a web-based visual machine learning platform for genome-wide association studies.Primarily worked on efficiently transferring data between the backend and user interface using MongoDB, Node.js, React, and Redux.

Tutored high school students in various subjects.