💡 GenAI Engineer specializing in Agentic AI, RAG & LLM Systems
🔗 Enterprise AI Integration • APIs • Messaging • Distributed Systems
💬 Open to opportunities in GenAI • Agentic AI • RAG • Enterprise AI Systems
⚡ Let’s build intelligent AI systems that scale 🚀
- 🤖 Build LLM-powered systems (RAG, copilots, AI assistants)
- 🧩 Design Agentic AI workflows (AutoGen, MCP, CrewAI)
- 🔗 Integrate AI with APIs, messaging systems & enterprise platforms
- ⚡ Develop production-grade, scalable GenAI applications
- Built Agentic AI system using MCP + AutoGen
- Integrates with Notion for knowledge workflows
- Demonstrates tool-using AI agents & real-world automation
- Multi-agent system for data analysis & insights generation
- Uses LLM reasoning + tool execution
- Example: dataset → insights → recommendations
- Built using LLM + Pinecone vector database
- Context-aware responses for enterprise knowledge
- Focus on scalable RAG architecture
- Applied Agentic AI in Solace Agent Mesh & Axway MFT workflows
- AI-driven orchestration over messaging & file transfer systems
- Real-time, event-driven AI decisioning
Building intelligent AI systems where agents seamlessly interact with enterprise platforms 🚀