• M.S. Software Engineering, The University of Texas at Arlington
• 3 years as a Software Developer building backend services and an IoT monitoring pipeline
• I build RAG & vector search systems (pgvector), data pipelines, and agentic LLM applications
• I care about measured results: eval harnesses, test suites, and documented tradeoffs
• Microsoft Azure certified (AZ-900)

• docs-rag — Retrieval-augmented QA over SEC 10-K filings with FastAPI + PostgreSQL/pgvector. Built-in eval harness (100% source recall@5, 0.933 MRR), 70 tests.
• Auto-Apply-AI — Full-stack AI job-application agent (Next.js, PostgreSQL/Prisma, Playwright) with fact-grounded résumé tailoring and human-in-the-loop auto-apply across 13+ ATS platforms. 222 tests.
• datakit — Python library & CLI to load, clean, validate, profile, and chart tabular data, with scheduled YAML pipelines. 60 tests.
• face-recognition-bot — Real-time face detection and recognition with OpenCV.

Languages

Backend & Frontend

Data & AI

Tools & Cloud