Ask me anything

Four things, mainly: designing multi-agent AI systems (LangGraph, MCP, tool calling into platforms like JIRA and SharePoint, guardrails), building RAG architecture and vector search that actually retrieves the right things (Azure AI Search, Pinecone, hybrid search, reranking, RAGAS evaluation), LLM fine-tuning and optimization (LoRA/PEFT, dataset design, inference tuning), and enterprise AI architecture that takes teams from pilot to a secure, observable production platform. If your problem doesn't fit one of those boxes neatly, ask anyway — most interesting problems don't.

LangGraph and LangChain for orchestration, Azure OpenAI and Azure AI Foundry for models, Pinecone and Azure AI Search for retrieval, Snowflake and Databricks on the data side, FastAPI for serving, and MCP for tool integration. I work across the full LLM lifecycle — prompting, RAG, fine-tuning with LoRA, agent orchestration, evaluation, and LLMOps.

Yes — I'm open to full-time roles, contract projects, and freelance consulting. The fastest way to reach me is booking a quick call at cal.com/swarnava-dutta/quick-call, or connect on LinkedIn, or email swarnava.dev@gmail.com. I usually reply within 12 hours.

I keep it to five steps: first we get clear on the problem and what success measurably means, then I design the architecture — retrieval, agents, models, guardrails. I ship a working end-to-end slice early and demo every week, build evaluation and observability before launch, and hand off with runbooks so your team owns it without me. No long silent build phases, no big-bang launch surprises.

Yes — most of my work has been with distributed teams across the US and Europe, so collaborating across time zones is the norm for me. I'm based in Kolkata, India (IST). Contracts, full-time remote roles, and hybrid arrangements within India all work.