Prathmesh Adsod

I’m a Python Developer and Generative AI Engineer with 2+ years of experience building multi-agent systems, RAG pipelines, and LLM-powered automation. I thrive on designing agentic architectures that combine retrieval, planning, validation, and execution—then harden them for real-world reliability. I also bring a strong machine learning foundation with supervised and deep learning, backed by hands-on PyTorch.

At Tata Consultancy Services, I architected end-to-end multi-agent supply chain automation using LangChain and LangGraph, including conditional routing, state management, and tool-calling nodes. I built and deployed FastMCP servers to expose domain-specific tools, resources, and prompts for structured, context-aware reasoning. I implemented A2A (Agent-to-Agent) communication patterns with shared memory and inter-agent messaging, while developing production RAG pipelines and integrating inference with external APIs and internal microservices.

I’m a builder who values measurable outcomes—accuracy, latency targets, and dependable behavior in production. Through hackathon projects, I’ve explored on-device persona experiences, privacy-focused agent auditing, and adversarial multi-agent code review on real workflows, always aiming to translate operational needs into agentic system design with strong documentation and code review discipline.