I'm a Full-Stack Developer building SaaS platforms, MVPs, and custom web applications for startups and businesses β end to end, frontend to database. Alongside that, I integrate AI/NLP features into real products, not just prototypes.
- π Core Focus: Production-ready web apps using MERN, Next.js, and TypeScript β SaaS products, MVPs, admin dashboards, business platforms.
- π€ AI Integration: Applying NLP and ML pipelines (Scikit-Learn, TF-IDF) to real, deployed web services β not just notebooks.
- π‘ Mindset: Clean, maintainable, production-first code β every project is built to be handed over and scaled, not thrown away.
- π Also: Computer Science student (Air University, Islamabad), building all of this alongside coursework.
- π€ Open To: Full-stack development contracts, SaaS/MVP builds, AI integration projects, open-source collaboration.
FakeScope β AI Fake News Detection Platform
Production-ready web platform that scores news headlines and articles as FAKE or REAL using a trained TF-IDF + Scikit-Learn machine learning pipeline.
| Metric / Aspect | Implementation Details |
|---|---|
| Stack | Flask, Python, Scikit-Learn, Docker, Gunicorn, Tailwind CSS |
| Scale | Multi-model evaluation framework (Logistic Regression, Naive Bayes, Random Forest) |
| Performance | Sub-100ms inference time with automated model serialization on launch |
| Security | Input validation, rate limiting, and structured JSON error responses |
| Impact | Live linguistic verification interface with detailed probability explanations |
π Repository: FakeScope Source Code
RelaySync β Real-Time Collaborative Code Editor
Full-stack real-time collaborative workspace allowing developers to write, edit, and sync code simultaneously across active room sessions.
| Metric / Aspect | Implementation Details |
|---|---|
| Stack | React, TypeScript, Node.js, Express, Socket.io / Yjs, MongoDB |
| Scale | Multi-client room concurrency with operational synchronization |
| Performance | Low-latency bi-directional WebSocket state syncing |
| Security | Room isolation, secure WebSockets, sanitized payload handling |
| Impact | Seamless real-time code collaboration platform |
π Repository: RelaySync Source Code
Developer Portfolio Platform
Personal developer portfolio highlighting skills, experience, project showcases, and professional achievements.
| Metric / Aspect | Implementation Details |
|---|---|
| Stack | React, Next.js, TypeScript, Tailwind CSS, Vercel |
| Scale | Responsive across all viewport dimensions |
| Performance | 95+ Lighthouse score with optimized assets and server rendering |
| Security | Clean client-side rendering with environment configurations |
| Impact | Primary central hub for engineering work and recruiter discovery |
π Live Link: portfolio-muhammadhassan.vercel.app
| Domain | Proficiency | Details |
|---|---|---|
| Natural Language Processing (NLP) | Advanced | TF-IDF Vectorization, Text Preprocessing, Sentiment Analysis, Fake News Detection |
| Machine Learning Pipelines | Intermediate | Scikit-Learn, Logistic Regression, Naive Bayes, Random Forest Classifier |
| Model Deployment | Intermediate | Flask Microservices, Docker Containerization, API Endpoint Serialization |
| Data Processing & Analytics | Intermediate | Pandas, NumPy, Feature Extraction, Model Evaluation & Metrics |
Freelance (Upwork/Fiverr) / Independent Projects | 2024 β Present
- Architected and deployed full-stack SaaS/MVP-style web applications using React, Next.js, Node.js, and MongoDB.
- Built and containerized an AI/NLP web service (FakeScope) using Flask, Docker, and Scikit-Learn.
- Integrated real-time features using WebSockets and state synchronization (RelaySync).
- Delivered clean, typed, production-ready code using TypeScript and modern component patterns.
React Next.js TypeScript Node.js Express MongoDB Python Docker Tailwind CSS
Recognition |
Details |
|---|---|
| Vibe Coding AI Innovation Challenge Participant | Registered and developed AI application solutions for regional developer competition (2026). |
| Vercel Production Deployments | Successfully deployed and configured high-performance front-end portfolios and web apps. |
| BS Computer Science Candidate | Maintained academic performance while engineering production-ready projects. |
Current Focus:
Building: SaaS platforms, MVPs & AI-integrated web applications for clients
Academic: Completing BS in Computer Science
Learning: Distributed Systems
Open To: Full-stack contracts, SaaS/MVP builds & AI integration projects