Spartian User

I am an AI/ML engineer focused on building production-ready multi-agent systems, LLM applications, and end-to-end ML pipelines. I combine practical engineering with modern frameworks like LangChain, LangGraph, and state-of-the-art LLMs to deliver reliable, observable AI solutions.

My hands-on experience includes designing modular architectures, implementing RAG pipelines with FAISS/ChromaDB, and deploying user-facing apps using Streamlit and Flask. I have delivered projects demonstrating multi-agent orchestration, ensemble deep-learning models for medical imaging, and chatbot systems with observability using LangSmith.

I prioritize scalability, monitoring, and robust model evaluation — automating model selection and reporting, reducing evaluation time, and improving reliability to minimize hallucinations and enhance user trust.