About

Who I Am

I am a data scientist and machine learning researcher with a focus on medical data science and computer vision. At UC Davis Health, I developed a Retrieval-Augmented Generation (RAG) LLM architecture to improve clinical trial document analysis and fine-tuned models like GPT-4 and Llama3 for medical applications. My research includes building video prediction models using LSTMs and CNNs to analyze CT-Scan Angiograms, enhancing the detection of internal bleeding and aneurysms. I have also worked on AI-driven medical data synthesis and applied advanced frameworks like OpenSTL for modeling sequential behavior in medical imaging. During my time at Lawrence Livermore National Laboratory, I engineered feature-extraction techniques for CT scan analysis, improving system health monitoring and reducing downtime.

As a Founding Software Engineer at Tetsuwan Scientific, I am developing an AI-integrated platform for automating wet lab robotic workflows. I build full-stack applications using Next.js, React, PostgreSQL, and LangChain, integrating cloud authentication for seamless user management. My work includes implementing multi-agent AI systems and voice transcription tools to optimize research data processing. By blending software engineering with lab automation, I aim to enhance research efficiency and create scalable, AI-driven solutions for scientific applications.