AI-focused Software Engineer. Expert in enterprise software development, integration, and deployment.
I’m a Senior Software Engineer at Harvard T.H. Chan School of Public Health, shipping complex systems from large-scale web platforms to enterprise integrations (SSO, APIs, marketing automation). I have a Master’s in Software Engineering from the Harvard Extension School and I'm active in the SF AI builder community. I won the Qualcomm/Meta ExecuTorch Hackathon by using a small language model to improve wet lab experimentation. During my Master's, I built an LLM pipeline for Pfizer that reduced meta-analysis literature review time by 5x.
A mobile app that won the ExecuTorch Edge AI hackathon, using on-device LLM, STT, and TTS to help scientists navigate and document wet lab experiments hands-free.
A Capstone project with Pfizer using LLMs to automate extraction of clinical trial data from PDF documents.
A machine learning model using Random Forests to predict flight delays based on airport, airline, and temporal features.
Comparing transfer learning with pretrained models against standalone CNNs for dog breed classification.
A creative dialogue explaining how Node.js works, covering its event loop, non-blocking I/O, and why it became so popular.
A Scala application using Akka Streams to process and display real-time train arrival predictions from the MBTA API.
Implementation and performance analysis of A*, Weighted A*, Best First Search, and A* with Beam Search pathfinding algorithms.
An AWS serverless application that helps teams manage rotating responsibilities through scheduled Slack messages.
A WordPress plugin that pulls data from multiple Harvard APIs to generate automated web profiles for 1,500+ faculty and researchers.