AI professional with 10 years of experience delivering enterprise Artificial Intelligence, Generative AI, and Agentic AI solutions. Specialized in autonomous AI systems, LLM applications, RAG architectures, AI governance, MLOps, and cloud-native deployments across BFSI, healthcare, manufacturing, and retail.
Expertise & skills
Selected projects
Technologies: Python, LangGraph, GPT-4, Pinecone, FastAPI
- Developed a multi-agent decision intelligence platform for executive reporting.
- Implemented RAG with enterprise document repositories.
- Built AI planner, reviewer, and validation agents.
- Integrated role-based access and observability.
Technologies: Azure OpenAI, LangChain, PostgreSQL
- Created an underwriting assistant for policy risk analysis.
- Automated document summarization and recommendation generation.
- Integrated external risk data sources.
Technologies: CrewAI, Python, Redis, Docker
- Designed autonomous agents for inventory planning and procurement.
- Built demand forecasting workflows using LLM reasoning.
Technologies: Claude, ChromaDB, FastAPI
- Developed AI-powered legal clause extraction and compliance validation.
- Implemented semantic search across contract repositories.
Technologies: PyTorch, AWS, Redis
- Built recommendation models for personalized shopping experiences.
- Integrated real-time inference APIs.
Technologies: TensorFlow, OpenCV, Kubernetes
- Developed computer vision models for defect detection.
- Automated quality reporting dashboards.
Certifications
- Microsoft Azure AI Engineer Associate
- AWS Certified Machine Learning – Specialty
- Generative AI with Large Language Models
- Kubernetes Application Developer
Education
Master of Technology (Artificial Intelligence)
Vellore Institute of Technology
Achievements
- Delivered 25+ enterprise AI initiatives.
- Designed production-ready multi-agent AI architectures.
- Implemented secure RAG solutions for regulated industries.
- Led enterprise AI modernization programs.
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