I specialize in building Scalable AI Systems. My focus is moving beyond basic RAG into self-correcting, multi-agent workflows that solve complex business logic. I bridge the gap between academic research (Quantum ML) and scalable software architecture.
- Focus: Scalable Agentic Workflows & Production MLOps.
- Track Record: 45+ Global projects | Former Microsoft MLSA Alpha.
- Academic: Co-authored research on Hybrid Quantum-Classical ML (Under review).
Active contributor to the foundational frameworks of the Agentic Era.
- LlamaIndex (PR #21063): Optimized retrieval logic and resolved critical documentation inconsistencies to improve RAG pipeline reliability.
- LangChain (PR #36225): Standardized core development guidelines (CLAUDE.md/AGENTS.md), ensuring technical accuracy for the global contributor community.
| AI & Core | GenAI & Agents | Backend & Infrastructure |
|---|---|---|
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LangGraph Agentic RAG |
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LlamaIndex LangChain |
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Quantum ML Computer Vision |
Function Calling Multi-Agent |
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| Project | Innovation | Tech Stack |
|---|---|---|
| NASA NEO Analytics | ReAct Agent for automated asteroid threat assessment. | XGBoost LangGraph Weaviate |
| Urban Air Sentinel | Hybrid Regression + LLaMA 3 RAG for city-wide smog forecasting. | LLaMA 3 Sklearn Streamlit |
| USGS Seismic Intel | Time-series forecasting with FAISS semantic retrieval. | PyTorch LSTM FAISS Python |
- Ask Me About: Agentic Workflows and scaling AI systems.
- Currently Working At: JadeedX.
- Reach Me: LinkedIn | Email
“The function of good software is to make the complex appear to be simple.” — Grady Booch