Full Stack Developer · MERN · Real-Time Systems · RESTful APIs · Open Source
I am Misbah Mansoori, a Full Stack Developer experienced in building MERN applications, real-time systems, and RESTful APIs. I am passionate about developing scalable, user-focused web applications.
As a MERN Full Stack Teaching Assistant Intern at a stealth startup, I mentored 5,000+ learners, resolved 300+ technical issues, and guided 300+ learners through authentication, API integration, database design, deployment, and debugging.
I contribute to open source — including merged production fixes in SnapDock — and continuously learn by building and shipping real-world projects.
Currently pursuing B.Tech in Computer Science Engineering at the College of Technology and Engineering, Udaipur (2023–2027), with a CGPA of 8.03.
| Domain | Proficiency | Details |
|---|---|---|
| MERN Full Stack | Strong | End-to-end applications with React, Node.js, Express.js, and MongoDB |
| Real-Time Systems | Strong | WebRTC + Socket.IO for multi-user communication, chat, and live sessions |
| Applied AI Products | Strong | Gemini-powered vision + assistant flows in AgroMind |
| RESTful APIs | Strong | Auth-backed APIs, user management, activity tracking, and validation |
| Auth & Security | Strong | JWT, Passport.js, authentication, authorization, and secure workflows |
| Open Source | Active | Merged production-ready fixes in collaborative codebases |
AgroMind — AI-Powered Farming Assistant
AI-powered farming assistant for crop disease detection, treatment guidance, weather-aware risk insights, and multilingual farmer support with voice interaction.
| Metric | Details |
|---|---|
| Stack | React · Vite · Tailwind · Node.js · Express · MongoDB Atlas · Gemini · OpenWeather · JWT |
| Scale | Detect, history, dashboard, assistant, weather, auth, and PDF report flows |
| Performance | Async AI inference with protected APIs and optimized client routing |
| Security | JWT auth, bcrypt password hashing, protected farm routes, user-scoped history |
| Impact | Crop diagnostics and agronomy guidance in English and Hindi |
| Repository | github.com/misbahmansoori/AgroMind · Live |
AgroMind helps farmers identify plant diseases from leaf images, understand the diagnosis, follow organic-first treatment plans, track scan history, and ask farming questions in English or Hindi — including voice input and spoken replies. Built with Gemini Vision, OpenWeather insights, and a JWT-secured MERN stack.
Convo — Full Stack Video Conferencing Platform
Full-stack real-time video conferencing platform supporting multi-user meetings, guest access, screen sharing, chat, and meeting history.
| Metric | Details |
|---|---|
| Stack | MERN · WebRTC · Socket.IO · JWT · Material UI · Tailwind CSS |
| Scale | Multi-user meetings with guest access, chat, and meeting history |
| Performance | Optimized WebRTC signaling and peer connection workflows |
| Security | Secure JWT-based authentication and RESTful APIs |
| Impact | Reliable real-time communication with user management and activity tracking |
| Repository | github.com/misbahmansoori/Convo · Live |
Engineered a full-stack real-time video conferencing platform using MERN, WebRTC, and Socket.IO. Designed secure JWT-based authentication and RESTful APIs for user management and activity tracking, and optimized WebRTC signaling to improve communication reliability.
TripNest — Full Stack Rental Booking Platform
Full-stack rental booking platform featuring authentication, property listings, category filtering, reviews, and interactive maps.
| Metric | Details |
|---|---|
| Stack | Node.js · Express.js · MongoDB · EJS · Passport.js · Cloudinary · Mapbox |
| Scale | Listings, reviews, category filtering, and interactive maps |
| Performance | Robust image upload and listing management workflows |
| Security | Passport.js authentication with Joi validation |
| Impact | End-to-end booking experience with MVC architecture and REST design |
| Repository | github.com/misbahmansoori/TripNest · Live |
Developed a full-stack rental booking platform with authentication, property listings, reviews, and maps. Integrated Cloudinary, Mapbox, Passport.js, and Joi validation while following MVC architecture and RESTful API design, improving image upload consistency and listing management through backend validation and error handling.
SnapDock — Open Source Contribution
Open-source Markdown editor contributions focused on themes, file tracking, and UI rendering.
| Metric | Details |
|---|---|
| Stack | Open Source · Markdown · UI · File Tracking |
| Scale | Collaborative contribution to a production open-source codebase |
| Performance | Targeted fixes for rendering and file-tracking reliability |
| Security | Production-ready merged changes reviewed with maintainers |
| Impact | 4 production-ready fixes successfully merged |
| Repository | github.com/misbahmansoori/SnapDock |
Contributed merged fixes for Markdown themes, Chokidar file tracking, and UI rendering. Collaborated with open-source maintainers to deliver 4 production-ready fixes that were successfully merged into the codebase.
Mentored learners across the MERN stack and provided hands-on technical support covering authentication, APIs, databases, deployment, and debugging.
Scope of Work
- Mentored 5,000+ learners and resolved 300+ technical issues across MERN technologies
- Guided 300+ learners through authentication, API integration, database design, deployment, and debugging, improving project completion rates
- Provided technical support via Discord, strengthening communication and problem-solving skills
MERN Authentication API Integration Database Design Deployment Debugging Mentorship
| Recognition | Details |
|---|---|
| Learner Mentorship | Mentored 5,000+ learners as a MERN Full Stack Teaching Assistant Intern |
| Technical Support | Resolved 300+ technical issues across MERN technologies |
| Project Guidance | Guided 300+ learners through auth, APIs, databases, deployment, and debugging |
| Open Source Impact | Delivered 4 merged production-ready fixes to SnapDock |
| Academic Performance | CGPA 8.03 · Class XII 74.4% · Class X 94.4% |
Learning:
- MERN stack depth and scalable application patterns
- Real-time systems with WebRTC and Socket.IO
- Backend systems: APIs, Auth, Databases
- Applied AI product workflows (Gemini vision + assistants)
Building:
- Full-stack MERN applications
- AI-assisted products like AgroMind
- User-focused, production-deployed web products
Exploring:
- Open-source contribution and collaboration
- Debugging, deployment, and system reliability
Open To:
- Full Stack / MERN opportunities
- Internships and software engineering roles
"Learning by building. Shipping with clarity. Contributing in the open."