AI Engineer with 4 years of experience delivering AI and Agentic AI solutions for enterprise applications. Experienced in developing multi-agent workflows, LLM-powered assistants, RAG systems, AI automation, and intelligent analytics using Python, CrewAI, LangGraph, FastAPI, Google Vertex AI, and cloud platforms.
Expertise & skills
Core Skills
ProgrammingPythonSQLAgentic AICrewAILangGraphTool CallingGenerative AIGoogle Vertex AIGeminiPrompt EngineeringRAGLangChainAI/MLTensorFlowScikit-learnNLPBackendFastAPIFlaskREST APIsVector DatabasesWeaviatePineconeCloudGoogle CloudDockerGitDatabasesPostgreSQLMongoDB
Selected projects
Insurance Underwriting Copilot
PythonVertex AILangGraphWeaviate
Key Responsibilities
- Built AI agents to assist underwriters.
- Implemented RAG over policy documents.
- Developed FastAPI services.
- Integrated workflow automation.
Core competencies
Agentic AI DevelopmentLLM IntegrationAnalytical ThinkingProblem SolvingCloud DeploymentTeam Collaboration
Certifications
- Google Cloud Generative AI Leader
- Professional Prompt Engineering
- Machine Learning Specialization
Education
Bachelor of Engineering (B.E.) in Computer Engineering
Ganpat University
- 2021
Graduation Year:
Achievements
- Reduced underwriting review time by 50%.
- Improved decision consistency.
- Supply Chain Intelligence Assistant
- Technologies: Python, CrewAI, Gemini
- Key Responsibilities
- Created multi-agent workflow for inventory analysis.
- Automated demand insights.
- Built reporting APIs.
- Improved planning efficiency.
- Reduced manual reporting.
- AI Sales Conversation Analyzer
- Technologies: Python, LangChain, Vertex AI
- Generated call summaries and action items.
- Performed sentiment analysis.
- Integrated CRM APIs.
- Improved sales follow-up quality.
- Document Compliance Checker
- Technologies: Python, FastAPI, Pinecone
- Validated regulatory documents.
- Built semantic search pipeline.
- Automated compliance reports.
- Reduced compliance review effort by 65%.
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