AI consulting and hiring FAQ

Four things, mainly: multi-agent systems with LangGraph, MCP, tool calling, and approval gates; RAG and GraphRAG with Azure AI Search, Pinecone, hybrid retrieval, reranking, and RAGAS evaluation; model tuning with LoRA or PEFT; and the architecture needed to move an AI pilot into production. 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. Book a quick call at https://cal.com/swarnava-dutta/quick-call, connect on LinkedIn, email swarnava.dev@gmail.com, or message me on WhatsApp at @swarnava.dev (+91-8900427900). I usually reply within 12 hours.

I keep it to five steps: define the problem and success measures, design the retrieval and agent architecture, ship a working end-to-end slice, add evaluation and observability, then hand over the system with runbooks. Weekly demos keep the work visible before launch.

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 India (IST). Contracts, full-time remote roles, and hybrid arrangements within India all work.