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π Table of Contents
About Me β’
Socials β’
Tech Stack β’
Skills β’
Featured Projects β’
Current Work β’
GitHub Stats β’
Trophies β’
Random Dev Quote β’
Top Contributed Repo β’
Let's Connect
π» B.Tech CSE Student | Full-Stack Developer
βοΈ Passionate about Frontend with React.js
π Python Enthusiast
π οΈ Currently Building MERN & Django Projects
π Tech Explorer | π― Problem Solver | π Lifelong Learner
π¨ Crafting Clean UI | π‘ Learning AI & Scalable Systems
π Focused on Career Growth & Real-world Projects
β¨ Letβs Build & Innovate Together!
Frontend: React.js β’ Next.js β’ HTML β’ CSS β’ Tailwind β’ Vite β’ JavaScript β’ TypeScript
Backend: Node.js β’ Express β’ Django β’ REST APIs β’ Authentication β’ JWT
Databases: MongoDB β’ MySQL β’ SQLite β’ Firebase
Machine Learning & Data: Python β’ scikit-learn β’ pandas β’ NumPy β’ Jupyter β’ ML prototyping
Tools & DevOps: Git β’ GitHub β’ Docker (basic) β’ NPM β’ Figma (design basics) β’ Postman
- π Code: https://github.com/mdwarishansari/moviesvibe
- A movie discovery & review web app built with React (frontend) and Node/Express (backend). Features user auth, ratings, and dynamic search filters to explore movies quickly.
- π Code: https://github.com/mdwarishansari/nexusshop
- An e-commerce demo project (MERN stack) showcasing product listings, cart functionality, and checkout flows. Focused on clear state management and responsive UI.
- π Code: https://github.com/mdwarishansari/smartscore
- Machine-learning-powered credit risk prediction system built with Django + ML models. Designed for SIH 2025 with secure APIs, model inference endpoints, and a clean admin/dashboard.
- π§ Trackruit β Actively building and iterating (project in progress).
- π§ Improving ML skills: prototyping, model evaluation, data pipelines, and deployment.
- π Practicing DSA and refining full-stack patterns.
- Collaborations on full-stack & ML projects
- Mentorship opportunities & internships
- Feedback on project architecture and code reviews
I build practical solutions, not just pretty UI. I love solving real problems with clean, scalable code.




