LangGraph Developer with 4 years of experience in designing and developing AI-powered applications using Large Language Models (LLMs), LangGraph, LangChain, Retrieval-Augmented Generation (RAG), and agent-based workflows. Experienced in building multi-agent systems, conversational AI platforms, workflow automation solutions, and intelligent document processing applications. Strong understanding of Python development, vector databases, prompt engineering, API integrations, and cloud deployment. Passionate about building scalable and production-ready AI solutions using modern Generative AI technologies.
Expertise & skills
Selected projects
Intelligent Insurance Claims Assistant
Developed a multi-agent AI assistant for insurance claims processing using LangGraph.
- Built workflow orchestration between document analysis, fraud detection, policy validation, and claim summarization agents.
- Implemented RAG for policy document search.
- Reduced manual claims review time by 45%.
- Integrated REST APIs for policy verification and claims management systems.
Enterprise Knowledge Assistant
Built an enterprise chatbot for internal documents.
- Designed LangGraph workflows for retrieval, generation, and validation.
- Implemented semantic search using vector embeddings.
- Improved retrieval accuracy with prompt engineering.
- Containerized using Docker.
Customer Support AI Agent Platform
Developed a multi-agent customer support platform.
- Created intelligent routing workflows.
- Integrated CRM APIs.
- Automated repetitive support operations.
AI Document Processing System
Built AI-powered document processing.
- Designed workflows for OCR, validation, summarization, and reporting.
- Implemented RAG architecture.
- Increased document processing efficiency.
Ways of working
Certifications
- LangChain for LLM Application Development
- Generative AI with Large Language Models
- Microsoft Azure AI Fundamentals (AI-900)
- AWS Certified Cloud Practitioner
Education
Bachelor of Engineering in Computer Engineering
Gujarat Technological University
Achievements
- 4 years of experience in AI application development.
- Hands-on expertise in LangGraph workflow orchestration.
- Strong knowledge of multi-agent architecture and RAG pipelines.
- Experience integrating LLMs with enterprise applications.
- Proficient in deploying AI solutions using Docker and AWS.
- Skilled in developing scalable REST APIs with FastAPI.
- Experience working in Agile/Scrum development environments.
- Strong understanding of prompt engineering and LLM optimization.
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