Generative AI Engineer at Capgemini | Building AI-First Solutions
- 🤖 Specialized in agentic AI workflows, RAG systems, and LLM orchestration
- 💼 Currently working with AG2, Azure AI, FastAPI, and Docker
- 🎓 B.Tech in Information Technology from GL Bajaj Institute
- 📫 Reach me: ahadkhan5547@gmail.com
Languages:
GenAI & ML: RAG • Prompt Engineering • Embeddings • Vector Search • LLMs • NLP
Frameworks/Tools:
Specialized: AG2 • Azure AI Search • Azure OpenAI • Azure Blob Storage
Cloud: Azure • CI/CD • REST APIs • Microservices
AI-powered conversational system for logging workouts using natural language. Features semantic search with embeddings and Gemini Flash for intent extraction.
Tech: FastAPI • Gemini Flash • Vector Embeddings • ChromaDB
Enterprise RAG system with Azure AI Search integration. Implements document chunking, vector embeddings, and context-grounded LLM responses to reduce hallucination.
Tech: Azure AI Search • Azure OpenAI • RAG • LangChain • FastAPI
Tool-calling AI assistant with dynamic API routing and MCP-style context passing. Enables reasoning and task execution through external API integration.
Tech: FastAPI • OpenAI • Tool Calling • MCP • Agent Orchestration
- 🔧 Designed and deployed agentic AI workflows using AG2 for conversational orchestration
- 🏗️ Built multi-role AI chatbot frameworks with coaching, reasoning, and task execution agents
- ⚡ Developed backend services with FastAPI using async patterns and microservices
- 🔍 Implemented RAG via Azure AI Search with vector search and semantic retrieval
- 🎯 Applied structured prompt engineering to optimize relevance and reduce hallucination
💡 "Building intelligent systems that understand, reason, and execute"