Vidhya Sagar Reddy Gongati

WORK HISTORY

EDUCATION

ABOUT VIDHYA SAGAR REDDY GONGATI

I’m a Backend and AI Engineer with hands-on experience building and deploying GenAI solutions using modern LLM frameworks like LangChain, LangGraph, and AWS Bedrock. I specialize in integrating LLM-powered features into production-ready systems using FastAPI, AWS Lambda, and CI/CD pipelines — with a strong focus on natural language understanding, retrieval-augmented generation (RAG), and agentic workflows. In my most recent project, I led the development of GenAI capabilities for a Skill Assessment Platform, where I: Fine-tuned a BERT model (Hugging Face Transformers) to evaluate student skill levels from open-ended answers. Built a RAG-based document QA module using LangChain + Pinecone for natural language querying of uploaded docs. Integrated AWS Bedrock to generate real-time intelligent feedback from proprietary LLMs like Claude. Created a LangGraph-based SQL Agent, allowing non-technical users to query internal data via natural language. Explored Agentic AI patterns with LangSmith to simulate self-correcting answer evaluations. Deployed the entire stack on AWS with Lambda, API Gateway, CloudFormation, and GitHub Actions. I\'m deeply passionate about applying GenAI to solve real-world problems at scale — from education to enterprise automation — and I\'m constantly exploring new LLM tools, orchestration frameworks, and deployment strategies that meet production-grade standards. Always open to connect with fellow builders, researchers, and teams working at the edge of Generative AI.