Full stack developer | Next js | Typescript | Backend

leetcode

github

projects

Abhyuday Mishra  • Peerlist

Most AI apps stop at “upload → ask → answer”.I’m building Cortex to go deeper — as a scalable data processing + retrieval system.Here’s what’s happening under the hood : Users upload documents → stored via pre-signed URLs (S3) → metadata persisted → async processing kicked off via a queue (BullMQ).A worker pipeline then: • Downloads &amp; buffers the file • Extracts text (PDF parsing) • Chunks the data • Generates embeddings • Stores everything in a vector databaseOn the query side: User question → embedding → similarity search → context retrieval → LLM responseAll of this is stitched together with: • Async job processing (BullMQ) • Real-time updates via SSE • Modular services sharing a common data layerCurrently in Phase 1, focusing on getting the ingestion + processing pipeline rock solid.The goal is to evolve this into a production-grade knowledge engine, not just another chatbot.Would genuinely love feedback to improve on the current implementation.

Cortex

Drop&amp;Sync — AI-Powered Personal File ManagerDrop&amp;Sync is a smart, lightweight file management web app that lets you upload, organize, and share files instantly. Built for personal use, it combines a clean drag-and-drop interface with AI-powered auto-tagging (powered by Google Gemini) to automatically categorize every file you upload — no manual sorting needed.Share any file in seconds with a shareable link or a generated QR code, making cross-device access effortless. Whether you're sending a document, image, PDF, or video, Drop&amp;Sync turns file sharing into a three-step process: sign up, upload, and share.Key Features:<ul><li>Drag-and-drop file uploads (images, PDFs, documents, videos up to 10MB)</li><li>AI auto-tagging via Google Gemini for instant file organization</li><li>One-click shareable link generation</li><li>QR code generation for quick cross-device sharing</li><li>Fast, minimal UI — no bloat, just what you need</li></ul>