
VeritasRAG
Production-grade RAG document Q&A platform — upload PDFs, DOCX, and TXT files, then query them with grounded, cited answers powered by hybrid vector search and Gemini.

Hi, I'm
Full Stack Developer
I love to build and learn stuff.
Currently working with TypeScript, Next.js, Bun, and PostgreSQL.
Outside of code, I'm addicted to the gym — still trying to make my commits as consistent as my workout split.
Featured
Integrated a full-stack feedback system so users can submit, route, and track input alongside existing product flows.
Shipped Three.js-powered 3D rendering features, iterating on scene setup and performance so visual experiences stay responsive in the browser.
Improved onboarding UX by restructuring the flow, tightening copy and steps, and reducing friction before users reach core product value.
Built end-to-end Puzzles and Blogs modules for a production platform, integrating a React-based user interface with scalable backend APIs to deliver a seamless learning experience.
Designed and implemented an SEO-optimized blog CMS and admin dashboard with reusable frontend components and server-side optimizations to improve content discoverability and performance.
Developed a rating-based puzzle system with robust backend services and optimized database queries, ensuring smooth handling of concurrent users and consistent application stability.
Featured

Production-grade RAG document Q&A platform — upload PDFs, DOCX, and TXT files, then query them with grounded, cited answers powered by hybrid vector search and Gemini.

Screenshot and code snippet beautifier — wrap images and code in gradient backgrounds, transform, annotate, and export at full resolution.

Workspace-based knowledge management platform with a RAG-powered AI assistant. Supports notes, PDFs, and web links — each workspace has isolated vector search powered by pgvector and Gemini.

A real-time chat application built with Next.js, React, Tailwind CSS, shadcn/ui, TypeScript, Node.js, Express.js, MongoDB, and Socket.IO.
Toolbox
Activity
Featured
An architectural breakdown of Content Delivery Networks, exploring edge caching, latency reduction, and how to implement global asset delivery in modern web applications.
A production-focused deep dive into how Redis fits into distributed system design, covering real-world patterns like rate limiting, caching, distributed locks, background jobs, and the trade-offs engineers must understand.
Extras