Full-Stack Web Developer

Hello!I'mAyush,aMERNStackDeveloperbuildingscalablewebapps.

SpecializinginMongoDB,Express,React,andNode.jsdevelopment.

About Me

I'm a MERN Stack Developer who loves building full-stack apps and solving DSA problems on LeetCode. I’m passionate about clean code, performance, and constant learning.

Know More !
ayushdixit@localhost:~$
me
code

GitHub Stats

Contribution Calendar

 

Activity Stats

Commits, PRs, issues and contributions

GitHub Stats

Top Languages

Most used programming languages

Top Languages

Contribution Streak

Current and longest streak stats

GitHub Streak
Loading LeetCode stats...

Featured Works

From sleek user interfaces to full-scale applications, here's a selection of projects I'm most proud of. Each one tells a story of creativity, code, and real-world impact.

Full Stack Application
Scalabe Realtime ChatApp

A high-performance realtime chat application supporting instant messaging, typing indicators, read receipts, and group chats with scalable backend architecture.

Authentication with Google using NextAuth and real-time online/offline status

1-on-1 and group chats with typing indicators, read receipts, and message deletion (for me & everyone)

Supports realtime image/video sharing, and user actions like block/unblock

Complete group chat management: create, update, delete, add/remove members

Nextjs Socket.IO Node.js MongoDB Redis Docker AWS Rabbitmq
Scalabe Realtime ChatApp
Backend Project
Video Transcoder Service

Built an automated video transcoding pipeline to handle uploads, processing, and delivery using S3, RabbitMQ, and FFmpeg. Designed for efficiency, scalability, and seamless video workflow automation.

Automated video transcoding using FFmpeg with multiple format outputs

Real-time job queuing and processing with RabbitMQ

Seamless S3 integration for file upload and retrieval

Optimized for scalability and clean error-handling architecture

Node.js Express RabbitMQ FFmpeg AWS S3
Video Transcoder Service
Full Stack Application
AI-Powered Docs Simplifier

Built a documentation assistant that scrapes content from technical documentation websites, simplifies it using LLMs, and remembers user context for interactive, intuitive understanding. Designed to help developers quickly grasp complex topics.

Two modes: 'Simplify Docs' using just a URL, and 'General Question' for follow-up or standalone queries

Scrapes documentation content and feeds it to a custom-tuned LLM for simplified explanations

Maintains user context across chats for more coherent follow-up answers

Improves documentation accessibility and developer onboarding experience

Nextjs Express Cheerio (for scraping) Google Gemini Qdrant (for vector database) MongoDB Docker
AI-Powered Docs Simplifier

My Tech Stack

HTML
CSS
JavaScript
TypeScript
ReactJS
Redux
NextJS
Tailwind CSS
Framer Motion
Shadcn
NodeJS
ExpressJS
MongoDB
MySQL
PostgreSQL
Prisma
Zod
Git
GitHub
Vercel
Postman
Java
Linux
pnpm

My Blogs

I write about what I learn — from web development to DSA and more. Simple posts, honest thoughts, and things worth sharing as I grow.

Let’s Build Something Great Together

I’m always open to new opportunities, collaborations, or even a quick chat about tech. Whether you have a project in mind or just want to connect — I’d love to hear from you.

© 2025 Ayush Dixit