🚀 Full Stack Dev to AI Explorer

Hi, I'm Ravi Kishore Thella

9 years of building production apps with Java, Spring Boot, React & JavaScript. Now exploring AI agents, LLMs, RAG, and LangChain. Learning in public.

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Tech Stack

JavaSpring BootReactJavaScriptTypeScriptLangChain.jsSpring AILangGraphRAGOpenAISupabaseGCPAWSDockerPostgreSQL

What I Learned About How LLMs Work — A Developer's Summary

After watching Andrej Karpathy's Intro to LLMs, here's my plain-English breakdown of how Large Language Models are built, trained, and why they think the way they do.

LLM AI Agents OpenAI

2026-04-30·8 min read

Featured Projects

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RAG Chatbot — Chat with Your Docs

🚧 In Progress

A Retrieval-Augmented Generation chatbot that answers questions from your own documents. Built with LangChain.js, OpenAI GPT-4o-mini, Supabase pgvector, and a React streaming frontend.

RAGLangChainOpenAISupabaseReactJavaScript

GitHub →Live Demo →

Spring Boot AI API

📋 Planned

Production-ready REST API powered by Spring AI. Exposes RAG capabilities built on Java/Spring Boot with OpenAI integration, streaming responses, and pgvector for document retrieval.

Spring AISpring BootJavaRAGOpenAI