Govinda Tak

About Govinda Tak

Generative AI & LLM Engineer with a strong foundation in full-stack development and hands-on experience building production-grade GenAI systems. I specialize in agentic AI architectures, RAG pipelines, and LLM-powered applications, using frameworks such as LangChain, LangGraph, LangSmith, and LangServe.Over the past year, I’ve worked extensively on AI agent design, multi-agent workflows, LLM evaluation, and enterprise RAG systems, focusing on scalability, reliability, and real-world applicability. My work bridges backend engineering with modern GenAI practices to deliver end-to-end intelligent solutions.I began my career as a Full-Stack Developer, working with backend frameworks like Spring Boot, Node.js, and FastAPI, along with frontend technologies such as React and Vue.js. Today, I leverage this background to design and deploy LLM-driven platforms that integrate seamlessly into enterprise systems.Core Expertise:Generative AI | Large Language Models (LLMs)| Agentic AI | RAG SystemsLangChain | LangGraph | LangSmith | LangServe | Prompt EngineeringVector Databases | Async APIs | Streaming LLM ResponsesPython | FastAPI | Spring Boot | Node.js | React | Vue.jsI’m driven by solving real-world problems through AI and automation, transforming traditional workflows into intelligent, scalable systems. My current focus is on advancing agentic AI architectures and enterprise GenAI integrations.Always open to meaningful discussions with engineers and practitioners working on LLMs, Agentic AI, and applied Generative AI systems.

Experience

1. Asso Sft Engr-des

   Sutherland

   Mar 2024 — Present · Hyderabad, IN

Education

• Centre for Development of Advanced Computing (C-DAC)

  Postgraduate Diploma in Advance Computing (PG-DAC) , Computer Science

• Geetanjali Institute of Technical Studies, Udaipur

  Bachelor's degree, Electrical and Electronics Engineering

  2016 — 2020