Kothrikalan, MP, India
Summary
Developed an AI-powered Retrieval-Augmented Generation (RAG) interface for codebases, enabling scalable Q&A and monetization.
Highlights
Developed a Retrieval-Augmented Generation (RAG) interface using Next.js 15, LangChain, and GoogleGemini AI, achieving 90%+ accuracy for scalable, real-time Q&A over decentralized codebases.
Integrated AssemblyAI for fault-tolerant automated meeting transcription and speaker-labeled summaries, delivering results under 30 seconds.
Implemented Stripe API for credit-based access, onboarding 5+ developers and achieving a 40% paid upgrade rate.
Engineered a robust system capable of processing large, decentralized codebases, enhancing developer productivity and knowledge retrieval.