As a Computer Science undergraduate specializing in AI and Machine Learning, I’ve built end-to-end ML systems involving data preprocessing, model training, evaluation, and deployment.
On SHIFT-TS, I built a Remaining Useful Life prediction system using NASA C-MAPSS data. I applied self-supervised learning and few-shot adaptation, then used Monte Carlo Dropout to estimate predictive uncertainty.
I also built GitSnap, a GitHub developer analytics dashboard that turns activity into contribution heatmaps, language trends, and repository statistics. Its typed data pipelines use the GitHub REST API and Zod validation.
Through the Processing Foundation’s p5.js Website, I contributed three merged changes, including resolving a responsive layout bug. As Club Coordinator for Google Cloud Club, I lead a 22-member team organizing GCP and ML workshops.
