Full-Stack AI Engineer

I am a Computer Engineering student and Full-Stack AI Engineer focused on building and shipping end-to-end AI products. I create React and TypeScript frontends connected to Python REST backends, LLM agents, and real-time computer vision systems.

I am currently an Engineering Intern working on production data pipelines. My work includes automating large-scale financial data collection, parsing regulatory XBRL filings, building resilient HTTP batch-processing systems, and loading reliable datasets into PostgreSQL through Supabase.

I have built multi-agent investment research platforms using FastAPI, LangGraph, Redis, Docker, and GitHub Actions. I enjoy improving performance, reliability, and cost efficiency through benchmarking, caching improvements, rate limiting, and provider evaluation.

I also build interactive real-time applications. My multiplayer gesture-controlled games use browser-based MediaPipe tracking, WebSockets, React performance optimizations, and voice-command support to deliver low-latency experiences without requiring server GPUs.

I work comfortably with Git and pull-request-based code reviews and have strong foundations in data structures, algorithms, databases, machine learning, and deep learning. I am interested in full-time engineering opportunities involving AI systems, backend platforms, full-stack development, and data-intensive products.