Contributed to the Authoring team as a full-stack developer to enhance Top Hat’s educational platform.Re-architected the Generative AI backend pipeline using Python and FastAPI, implementing a dual-prompt approach to separately transcribe slides and generate questions, enhancing flexibility and enabling multi-purpose use of transcribed data.Built and improved React-based front-end applications, including an intuitive UI for GenAI questions and in-class discussions.Implemented a… Show more Contributed to the Authoring team as a full-stack developer to enhance Top Hat’s educational platform.Re-architected the Generative AI backend pipeline using Python and FastAPI, implementing a dual-prompt approach to separately transcribe slides and generate questions, enhancing flexibility and enabling multi-purpose use of transcribed data.Built and improved React-based front-end applications, including an intuitive UI for GenAI questions and in-class discussions.Implemented a progress tracking system for a new AI slide processing system, created an internal endpoint to update subject tags, and enhanced user experience with multiple backend and frontend improvements. Show less

Trained with a University of California assistant professor on training machine-learning models in python.Predicted probability of grade ≥2 pneumonitis or dyspnea within 12 months of receiving proton beam therapy for lung cancer using machine-learning.Worked on a research paper comparing center-specific variation between treatment centers.

Worked as a software developer intern in the DDIQ platform, an AI-based automated due diligence solution that accelerates and enhances risk assessment related to companies and people. Developed small product improvements, updated libraries and fixed bugs using Java, Spring, Maven, JUnit, Spinnaker, and Jenkins.