Hello, I'm
Mohammed Arif .T
Passionate Full Stack Developer specializing in Next.js, MERN Stack, and AI/ML. I craft responsive, innovative web applications with a strong focus on performance, user experience, and cutting-edge technologies.
About Me
Full Stack Excellence
10+
Projects Completed
20+
Technologies Mastered
3
Awards Won
2023
B.Tech IT Started
Technologies I've Worked with
Ordered by Proficiency
Experience
Building innovative solutions and winning competitions through dedication and expertise.
Professional Journey
Full Stack Web Developer
AVS and Sakthi Kailash Educational Institutions
Key Achievements
Developed and deployed web-based solutions utilizing PHP, MySQL, and JavaScript
Built RESTful APIs to integrate frontend functionality with backend logic
Optimized database queries, enhancing overall system performance by 40%
Reduced load times by 60% through optimizing SSR and caching strategies
Applied responsive design techniques for seamless mobile device experience
Enhanced interactivity using AJAX for dynamic content loading
Implemented modern CSS animations and transitions
Developed custom CMS solutions for content management
Collaborated with UI/UX team to design responsive layouts that improved user experience
Technologies & Skills
Awards & Recognition
Competition on Web Development
1st place at national level technical symposium by KSR College of Technology
Competition on Code Debugging
1st place at national-level technical symposium by Mahendra Institutions of Technology
Hackathon Team Leader
Led a team of six in the Smart India Hackathon
CinemaHub - Movie Booking Platform
A full-stack, real-time movie ticket booking application. Features include a rich movie catalog, interactive seat selection, instant booking confirmations, and a responsive UI. Built with Next.js, React, and Firebase, it also integrates real email notifications.
V8 Engine Digital Twin Simulator
A full-stack, real-time digital twin simulator of a V8 engine-powered car. This project features physics-based engine dynamics, an interactive 3D visualization using Three.js, a live telemetry dashboard, and a RESTful backend with persistent state management.
Pixels to Plates
A revolutionary image recognition platform that analyzes food images using advanced machine learning. Built with Django and Keras, it features real-time image processing, nutritional analysis, recipe suggestions, and personalized meal planning with dietary restrictions support.
This Portfolio Website
A modern, interactive portfolio built with Next.js, React, and Tailwind CSS. It features animated backgrounds, 3D effects, sequential scroll animations, and a responsive design. It showcases projects, skills, and experience with a focus on performance and user experience.
AI Movie Recommender
A Streamlit application that recommends movies based on genre similarity and release year. It uses cosine similarity on the MovieLens dataset to find relevant films, which are then displayed in an organized grid. The app is built with Streamlit, Pandas, and Scikit-learn.
Multi-Digit Handwritten Number Predictor
A deep learning-based web application for recognizing multi-digit handwritten numbers. It uses a CNN model trained on the MNIST dataset, with a Flask backend for inference and an interactive web canvas for user input. The project provides real-time predictions for drawn digits.
Let's Create Together
Ready to bring your vision to life? Let's discuss your next groundbreaking project
Get In Touch
Why Choose Me?
Skilled Full Stack Developer in Next.js, MERN, and AI/ML.
Crafts responsive, user-focused web applications with performance optimization.
Creative thinker driving dynamic, efficient solutions for real-world challenges.
Collaborative approach with clear communication
Commitment to quality and timely delivery