Results-oriented Agentic AI Engineer with 2 years of experience developing intelligent automation solutions using AutoGen, Semantic Kernel, Azure OpenAI, and Retrieval-Augmented Generation (RAG). Experienced in creating AI copilots, workflow automation, and enterprise knowledge systems using Python and cloud-native technologies.
Expertise & skills
Programming
PythonSQL
Agentic AI
AutoGenSemantic KernelLangChain
LLMs
Azure OpenAIOpenAI GPT-4Gemini
RAG
Azure AI SearchFAISS
Backend
FastAPIFlask
Cloud
Microsoft AzureDockerGit
Databases
PostgreSQLCosmos DB
Core Concepts
Prompt EngineeringAgentic AIFunction CallingWorkflow Automation
Selected projects
Technologies: AutoGen, Azure OpenAI, FastAPI
- Developed an AI copilot to assist claims analysts with policy validation and claim summaries.
- Integrated enterprise APIs for customer and policy lookup.
- Reduced claim review time by approximately 30%.
Technologies: Semantic Kernel, Azure AI Search
- Built a RAG-powered assistant for hospital policies and medical guidelines.
- Implemented semantic document retrieval with Azure AI Search.
- Improved internal knowledge accessibility.
Technologies: Python, GPT-4, Microsoft Graph API
- Created an autonomous agent to classify, draft, and prioritize emails.
- Integrated approval workflow before sending responses.
Technologies: LangChain, FAISS, GPT-4
- Built an AI solution to summarize contracts and highlight potential risks.
- Implemented document ingestion and contextual question answering.
Core competencies
Agentic AI DevelopmentAI Copilot DevelopmentRAG SolutionsAzure AI ServicesREST API DevelopmentProblem SolvingAgile Collaboration
Certifications
- Microsoft Azure AI Fundamentals (AI-900)
- Semantic Kernel Fundamentals
- Azure OpenAI Developer Workshop
- Python for AI Applications
Education
- 2024
Bachelor of Engineering in Computer Science
Gujarat Technological University (GTU)
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