At National Center for Supercomputing Application, I created a responsive web application for managing social and biomedical studies, collecting multimedia responses, and checking data quality in real time. I also built a WebSocket pipeline for multimedia streaming with 40ms latency at 1920x1080@60Hz.
On an undisclosed project, I created a workflow orchestration system connecting machine learning models and physical sensors to help surgeons identify cancer cells during surgery, reducing wait times from two weeks to 15 minutes. I also built a decoupled RabbitMQ architecture for asynchronous communication and a Next.js frontend for accessing diagnostic results.
For Molecule Maker Lab Institute, I developed REST APIs that trigger Kubernetes workflows for machine-learning-based chemical reaction calculations. I also created interactive visualizations and automated deployment pipelines with GitHub Actions and SSH.
During my Software Engineer Internship at Apple Inc, I developed a full-stack application for managing and visualizing metadata across internal services. I designed RESTful APIs for cost tracking and optimized database queries and API response times, making the cost-checking process 3% more efficient.
