About
AI/ML Engineer specializing in LLM application development, Agentic AI, and Retrieval-Augmented Generation systems. Experienced in building production backend services, deploying with Docker/AWS, and fine-tuning open-source LLMs for domain-specific tasks.
Experience
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AI Developer InternGoodbooks ERPJun 2026 – Sep 2026
Education
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M.Sc.Coimbatore Institute of TechnologyArtificial Intelligence & Machine Learning · 2023 – 2025
Skills
Projects
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RAG-as-a-Tool MCP ServerMCP, Python, LangGraph
MCP server exposing an Agentic RAG document-QA pipeline as a callable tool for MCP-compatible clients.
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AI-Database-Co-PilotNext.js, FastAPI, TypeScript
Local AI co-pilot for secure natural-language chat with structured data via a FastAPI orchestration layer.
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Agentic-RAG-SampleLangGraph, Ollama
Local Agentic RAG system with adaptive query routing and self-correcting retrieval feedback loops.
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AI Agriculture AssistantFastAPI, React, LLMs
Full-stack AI system for crop yield prediction and soil analysis with LLM-powered recommendations and a live dashboard.
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LLM Fine-Tuning Pipeline (RL_FT)MLX, LoRA/QLoRA, Streamlit, FastAPI
Parameter-efficient fine-tuning pipeline for Qwen2.5-1.5B with a Streamlit training UI and FastAPI serving layer.
Courses & certifications
- Google Data Analytics · Google
- NPTEL Cloud Computing · NPTEL
- NPTEL Big Data · NPTEL
- Databricks Fundamentals · Databricks
- Google AI Essentials · Coursera
- IBM AI Engineering Professional Certificate · Coursera
🏆 Achievements & awards
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Hackathon Runner-Up – AI Agriculture Assistant
Recognized for a full-stack LLM-powered crop yield and soil analysis system built and demoed under competition time constraints.
🎯 Hobbies & interests
- Agentic AI
- LLM Fine-tuning
- RAG Systems
- Multi-Agent Orchestration
- MLOps