LangGraph Developer with 6 years of experience building enterprise AI solutions using LangGraph, LangChain, Python, FastAPI, LLMs, vector databases, and cloud platforms. Experienced in developing autonomous agents, RAG applications, AI copilots, and business workflow automation.
Expertise & skills
Programming Languages
PythonSQLTypeScript
AI Frameworks
LangGraphLangChainOpenAI GPT-4oClaudeGemini
AI Expertise
Agentic AIRAGPrompt EngineeringTool CallingAI Workflow OrchestrationAgent Memory
Backend
FastAPIFlask
Vector Databases
MilvusPineconeFAISS
Databases
PostgreSQLMongoDBRedis
Cloud & DevOps
AWSDockerKubernetesTerraform
Monitoring
LangSmithGrafanaPrometheus
Version Control
GitGitHub
Selected projects
Insurance Underwriting AI Copilot
LangGraphFastAPIOpenAIPinecone
Built an AI copilot that assists underwriters with policy analysis and risk assessment.
Key Responsibilities
- Designed planner, retriever and evaluator agents.
- Implemented RAG over underwriting manuals.
- Integrated policy APIs and document processing.
- Added human approval for high-risk decisions.
- Optimized workflow execution.
Customer Service Automation Platform
LangGraphLangChainPostgreSQL
Developed an enterprise customer support platform using multiple AI agents.
Key Responsibilities
- Created intent classification workflows.
- Built escalation and validation agents.
- Integrated CRM and ticketing systems.
- Maintained conversation memory.
Procurement Intelligence Assistant
LangGraphPythonMilvus
Developed an AI assistant for procurement teams.
Key Responsibilities
- Automated vendor comparison.
- Built contract retrieval workflows.
- Generated purchasing recommendations.
- Integrated ERP data.
Compliance Monitoring Assistant
LangGraphFastAPIMongoDB
Built AI workflows to monitor regulatory compliance.
Key Responsibilities
- Designed compliance checking agents.
- Generated audit-ready reports.
- Implemented alert workflows.
- Integrated internal policy repositories.
Enterprise DevOps Copilot
LangGraphDockerKubernetes
Created an AI assistant for DevOps engineers.
Key Responsibilities
- Automated incident diagnostics.
- Generated deployment guidance.
- Integrated monitoring tools.
- Built infrastructure troubleshooting workflows.
Ways of working
LeadershipCommunicationAnalytical ThinkingProblem SolvingTeamworkAdaptabilityMentoringAgile Collaboration
Certifications
- Generative AI with Large Language Models
- LangGraph Enterprise Application Development
- AWS Certified Developer – Associate
- Kubernetes Application Developer (CKAD)
- Advanced Python Programming
Education
Bachelor of Technology (Computer Engineering)
Pandit Deendayal Energy University
Achievements
- Built production-ready LangGraph applications for enterprise clients.
- Designed scalable multi-agent AI architectures.
- Implemented secure RAG solutions for regulated industries.
- Improved workflow automation through intelligent orchestration.
- Integrated AI platforms with cloud-native infrastructure.
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