Results-driven AI & LangGraph Developer with 6 years of experience designing enterprise-grade agentic AI solutions using LangGraph, LangChain, Python, FastAPI, vector databases, and cloud platforms. Experienced in building multi-agent systems, RAG applications, AI copilots, and workflow automation across healthcare, banking, retail, and HR domains.
Expertise & skills
Selected projects
AI Healthcare Clinical Assistant
Developed a multi-agent assistant for healthcare professionals.
Key Responsibilities
- Designed stateful workflows using LangGraph.
- Built symptom analysis, retrieval, recommendation and validation agents.
- Implemented RAG with medical knowledge bases.
- Integrated FastAPI services and conversation memory.
- Optimized response quality and workflow orchestration.
Intelligent Banking Loan Processing System
Built AI-driven loan processing workflows.
Key Responsibilities
- Created document verification and credit assessment agents.
- Integrated OCR and approval workflows.
- Implemented human-in-the-loop validation.
- Automated decision routing with LangGraph.
Enterprise AI Knowledge Assistant
Created enterprise knowledge search platform.
Key Responsibilities
- Built ingestion pipelines.
- Implemented semantic search.
- Created citation-aware responses.
- Integrated secure enterprise access.
Retail Sales Analytics Copilot
Developed AI analytics assistant for retail.
Key Responsibilities
- Built forecasting agents.
- Automated business reporting.
- Enabled natural language database queries.
AI Recruitment Assistant
Developed recruitment automation platform.
Key Responsibilities
- Built resume parsing agents.
- Implemented skill matching.
- Created interview workflow automation.
- Improved hiring efficiency.
Ways of working
Certifications
- LangGraph for Enterprise AI Systems
- Advanced LangChain Development
- AWS Certified Developer – Associate
- Docker & Kubernetes for AI Applications
- Python Professional Certification
Education
Bachelor of Technology (Information Technology)
Nirma University
Achievements
- Delivered enterprise-grade LangGraph applications across multiple industries.
- Built scalable multi-agent AI workflows.
- Developed production-ready RAG applications.
- Integrated AI systems with cloud-native architectures.
- Improved operational efficiency through workflow automation.
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