AI Engineer with 5+ years of full-stack engineering experience building production-grade LLM-powered applications. MS Computer Science, 4.0 GPA · Cal State LA. Currently at AT&T building systems serving 10M+ daily users.
I specialize in RAG pipelines, agentic workflows, and LLM integration — turning AI prototypes into deployed, scalable products using LangChain, LangGraph, FastAPI, and OpenAI APIs.
| Project | Description | Stack |
|---|---|---|
| 📚 Smart Documentation Agent | Production-ready Q&A agent over custom documentation | NVIDIA LLMs · LlamaIndex · ChromaDB · FastAPI |
| 🤖 RAG Resume Analyzer | AI assistant that parses resumes and answers questions via RAG | LangChain · OpenAI · ChromaDB · FastAPI |
| 🌐 Agentic Web Scraper | Autonomous agent that scrapes, summarizes, and structures web data | LangGraph · OpenAI · Python |
AI / LLM │ OpenAI API · LangChain · LangGraph · RAG · pgvector · ChromaDB · LlamaIndex · NVIDIA NIM
Backend │ FastAPI · Python · Node.js · REST APIs · PostgreSQL · MongoDB
Frontend │ React · Next.js · TypeScript · Tailwind CSS
Cloud │ AWS · GCP · Docker · Railway · Vercel · Firebase
- 🔨 Building: Advanced RAG pipelines and multi-agent systems
- 📚 Learning: LangGraph · Advanced RAG · LLM fine-tuning
- 💼 Open to: AI Engineer · LLM Engineer · AI Product Engineer (3–5 yrs) — US-based, remote/hybrid
- 📍 United States