AI Engineer focused on Generative AI, Retrieval-Augmented Generation (RAG), MCP integration patterns, agentic AI, and multi-agent systems. I design, build, and deploy production-lean generative AI solutions and automation pipelines.
- Build end-to-end GenAI systems: RAG pipelines, LLM orchestration, and agentic workflows.
- Operate and deploy models using LLMOps and MCP-style integrations.
- Automate CI/CD for model + infrastructure deployments (Azure-focused).
RAG Medical Chatbot — A production-lean RAG system for medical Q&A with secure Azure VM deployment, ACR-based containerization, NSG configuration, and GitHub Actions CI/CD.
- Generative AI, Retrieval-Augmented Generation (RAG)
- Prompt engineering, LLM orchestration, agentic AI, multi-agent systems
- LLMOps, MCP patterns, production deployment
- Azure (VM, ACR, NSG) • CI/CD automation
- Python, Docker, REST APIs, Vector databases
- RAG Medical Chatbot — Production-lean RAG stack for medical Q&A with Azure VM deployment, ACR container images, NSG network controls, Pinecone/VectorDB indexing, and GitHub Actions CI/CD.
- Collaboration on GenAI / RAG / multi-agent projects
- Contract or full-time roles in LLMOps and production AI engineering