AI Engineer with 4 years of experience developing enterprise AI and Generative AI solutions. Experienced in building LLM-powered assistants, recommendation systems, document intelligence platforms, AI automation workflows, and scalable APIs using Python. Strong expertise in LangGraph, LangChain, Hugging Face, FastAPI, Docker, Azure OpenAI, and vector databases.
Expertise & skills
Core Skills
ProgrammingPythonSQLGenerative AIAzure OpenAILangGraphLangChainPrompt EngineeringRAGFunction CallingAgentic AIAI/MLScikit-learnPyTorchHugging FaceNLPDeep LearningBackendFastAPIFlaskREST APIsVector DatabasesQdrantFAISSChromaDBCloudMicrosoft AzureDockerGitHub ActionsDatabasesPostgreSQLMongoDB
Selected projects
Insurance Claims AI Assistant
PythonAzure OpenAILangGraphQdrantFastAPI
Key Responsibilities
- Built multi-agent workflow for claim analysis.
- Integrated policy document search using RAG.
- Developed APIs for claim recommendations.
- Containerized services using Docker.
Core competencies
LLM Application DevelopmentAI Solution DesignProblem SolvingTeam CollaborationAgile DevelopmentAPI Development
Certifications
- Microsoft Azure AI Engineer Associate
- Generative AI Fundamentals
- Python for Data Science
Education
Bachelor of Engineering (B.E.) in Information Technology
Nirma University
- 2021
Graduation Year:
Achievements
- Reduced claim review time by 55%.
- Improved adjuster productivity.
- Contract Intelligence Platform
- Technologies: Python, Hugging Face, FastAPI, ChromaDB
- Key Responsibilities
- Automated contract extraction and summarization.
- Implemented semantic clause search.
- Built review dashboard APIs.
- Reduced manual review effort by 70%.
- Improved document retrieval accuracy.
- Retail Recommendation Engine
- Technologies: Python, PyTorch, PostgreSQL
- Developed personalized recommendation models.
- Created feature pipelines.
- Integrated inference APIs.
- Improved click-through rate.
- Enhanced product discovery.
- AI Meeting Assistant
- Technologies: Python, Whisper, GPT, FastAPI
- Generated meeting summaries.
- Extracted action items.
- Integrated calendar workflow.
- Reduced documentation effort.
- Improved team productivity.
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