At USF Bellini College of AI, Cybersecurity, and Computing, I’m developing a CanvasLTI platform that evaluates memory context to identify student cognitive states in real time. It achieves 83.3% risk-flag detection accuracy with sub-250 ms latency.
I also developed a React-based generative UI and a Python evaluation harness using LangChain and Pydantic. The system enforces deterministic JSON schemas and generates context-aware follow-up prompts, reducing passive answer seeking by 40%.
As a Software Engineering Intern at AbbVie, I engineered an image-processing MLOps pipeline for classifying clinical cellular phenotypic phases. It accelerated enterprise drug discovery processes by 20%.
My projects include PAAL, a full-stack AI-assisted learning platform that combines a multi-agent pipeline with a FastAPI backend and React frontend. I’ve also developed expense management and predictive stock analysis applications.
