Experienced LangGraph Developer with 8 years of expertise in designing and implementing enterprise-grade AI applications using LangGraph, LangChain, Python, and Large Language Models (LLMs). Proven experience in developing multi-agent systems, Retrieval-Augmented Generation (RAG) solutions, autonomous AI workflows, intelligent orchestration pipelines, and human-in-the-loop applications. Strong background in backend development, cloud-native deployment, API integrations, and scalable AI architectures.
Expertise & skills
Selected projects
Enterprise AI Customer Support Platform
Designed a multi-agent AI customer support platform capable of intelligently routing customer requests.
- Developed stateful workflows using LangGraph
- Built intelligent routing and orchestration agents
- Implemented RAG with enterprise knowledge repositories
- Designed human approval workflows
- Optimized response latency and coordination.
- Financial Research Assistant
- Built an AI-powered research assistant for financial analysis and reporting.
- Designed planner-executor architecture
Ways of working
Certifications
- LangChain for LLM Application Development
- Building Agentic AI Systems with LangGraph
- AWS Certified Developer – Associate
- Docker & Kubernetes Professional
- Microsoft Azure AI Fundamentals
Education
Bachelor of Engineering in Computer Science
Gujarat Technological University
Achievements
- 8 years of experience designing enterprise AI solutions.
- Extensive expertise in LangGraph-based multi-agent application development.
- Hands-on experience with Retrieval-Augmented Generation (RAG).
- Strong knowledge of LLM integration and workflow orchestration.
- Experience building scalable cloud-native AI applications.
- Skilled in designing production-ready AI systems.
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