- 🧠 AI / GenAI Engineer focused on Agentic AI, LLM applications, RAG, and LLM evaluation
- ⚙️ Built and engineered 3 end-to-end GenAI systems spanning agentic research, autonomous data analysis, and LLM evaluation/observability
- 🔧 Experienced with LangGraph, FastAPI, Qdrant, DuckDB, PostgreSQL, MCP, and multi-provider LLM architectures
- 📄 Co-author of 3 IEEE conference publications covering Explainable AI and healthcare machine learning
- 🎯 Interested in GenAI Engineer · LLM Engineer · Agentic AI Engineer roles
| AI / LLM Engineering | Backend & Data |
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| Machine Learning | Languages & Tools |
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🔍 Multi-Source Research Agent Agentic RAG assistant built with LangGraph + FastAPI + Qdrant, delivering citation-backed answers by combining document and web-based retrieval (Tavily Search).
LangGraph FastAPI Qdrant Tavily
🗃️ DataAgent-Pro Stateful multi-agent data analysis system (Planner → SQL Generator → Executor → Validator → Reflection) with a live agent-trace UI for transparent, auditable Text-to-SQL reasoning.
LangGraph DuckDB PostgreSQL React MCP
📊 LLMOps-Studio Full-stack LLM evaluation platform for experiment tracking, multi-provider benchmarking, regression detection, and automated promotion gates.
FastAPI PostgreSQL Docker React
🏥 Health Insurance Fraud Detection ML system to flag fraudulent health insurance claims using XGBoost & SVM with SMOTE-based class balancing and engineered features. Basis for two IEEE publications.
XGBoost SVM SMOTE
💳 Loan Application Website — React-based loan application platform with role-based dashboards for users and admins, and live form validation.
- QR Code Based AR Navigation for Hospitals — ICAMIDA 2025
- An Explainable Artificial Intelligence Approach to Health Insurance Claim Fraud Detection — ICAIIHI 2025
- A Hybrid Machine Learning Approach for Fraud Prevention and Health Insurance Claim Verification — IATMSI 2026
Building AI that doesn't just generate — it retrieves, reasons, executes, and verifies.
Let's build something meaningful.