I’m a software engineer with experience building scalable, production-grade systems across full-stack, cloud, and data infrastructure. I completed my master’s at the University of Michigan with a focus on applied machine learning.
At Amazon, I developed a full-stack dashboard to monitor system health and built a real-time shadow testing framework using AWS Kinesis and EC2. I’ve also led the development of ClinIQ, a GenAI-powered web app for analyzing medical lab reports, where I handled everything from OCR and backend orchestration to LLM integration and Dockerized deployment. I enjoy working in fast-moving environments where I can contribute across the stack — from designing APIs and scaling pipelines to debugging distributed systems in production.
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