Co-Founder @NextHire-AI

Nithisha V  • Peerlist

-Architected and deployed an AI-driven documentation platform using Next.js, LangChain, and Neon Postgres to automatically generate, organize, and maintain technical documentation from GitHub repositories with real-time synchronization via webhooks and Server-Sent Events (SSE). -Engineered a reliable document processing pipeline (GitHub webhooks → Next.js API routes → Google Generative AI enrichment) with idempotent operations to ensure consistent, scalable documentation generation. -Implemented an intelligent content understanding layer using LangChain document loaders and Google Generative AI for automated analysis, structuring, and organization of repository content. -Developed a responsive TypeScript-based interface with React components, real-time markdown previews, and role-based access control using Clerk Auth, supported by a modular architecture separating frontend, APIs, and background tasks for maintainability. Live Link - https://autodocs-v1.framer.website/

AutoDocs — AI-Powered Documentation Platform

- Architected and deployed a multi-service enterprise RAG platform integrating internal knowledge (Confluence) with validation guardrails, hybrid retrieval (Pinecone dense search + MS-MARCO MiniLM reranking), and intent-aware routing to deliver reliable, citable AI responses while reducing unnecessary vector calls and latency. - Designed a decoupled ingestion pipeline (webhooks → staged state → deferred re-indexing) with retry logic and idempotent upserts to enable non-blocking, scalable indexing across enterprise data sources. Implemented enterprise-grade trust and reliability layers using DeBERTa-MNLI–based contradiction detection, Guardrails output validation, and modular Dockerized services (LLM engine, indexer, reranker, NLI, analytics) with fail-safe logging and non-blocking error handling. - Instrumented full-pipeline observability using ClickHouse + Metabase to track stage-level latency, status, and trace IDs, and integrated PromptLayer + LangSmith for prompt tracing, evaluation, and performance monitoring. Demo Link - https://drive.google.com/file/d/1owk99_p45ifnRXTgqgfJuUVEkU6i58fo/view