I build AI-powered workflows and integrations in Python and Node.js. My projects include a RAG Study Tutor that answers questions from retrieved passages with citations and a low-confidence fallback.
For the RAG Study Tutor, I built an Express REST API with JWT authentication, input validation, rate limiting, and PostgreSQL row-level security. The project also includes defences against prompt injection from document text.
I built an AI Video Summarizer pipeline that transcribes audio and video with WhisperX, then summarizes it using a locally hosted Llama model. I added key-moment clip extraction, AWS S3-backed file handling, a command-line tool, and a React interface.
As a Junior Data Engineer at DataFlow Analytics, I optimized SQL queries and indexing strategies and wrote scripts to clean and normalize raw datasets before loading them into warehouse systems. Iām completing a Computer Science degree at FAST National University of Computer and Emerging Sciences (NUCES), expected in June 2027.
