Production-grade software across AI, full-stack web, iOS, and machine learning research.
A mobile app for shared trip planning, built with React Native/Expo and a FastApi backend server.
An AI-powered SaaS web application for advanced image modification, built with a modern full-stack architecture. Features a secure credit system, responsive UI, and cutting-edge Cloudinary AI integrations.
Implemented an optimized Breadth-First Search algorithm that was awarded fastest among all graduate students in Computer Science 6980 at Memorial University of Newfoundland.
Contributed to native iOS development for Samsung's SmartThings ecosystem — a platform used by millions worldwide. Built features using Swift and UIKit, integrating IoT device management capabilities.
Enterprise Project · Samsung R&DUndergraduate thesis research applying machine learning to predict cardiovascular breakdown. Used correlation-based feature selection with XGBoost achieving 95.06% accuracy.
Research Project . UndergraduateLed front-end development of enterprise-scale applications at Samsung R&D, achieving a 15% performance improvement through systematic code optimization and architectural improvements.
Enterprise Project · Samsung R&DLed front-end and built backend services for multiple production projects at Tudo Technologies. Mentored 3 developers and integrated Google APIs to enhance platform functionality.
Production Project · Tudo TechnologiesLed Team Scapegoat at BUET CSE Fest Hackathon 2022, winning the Best Documentation Award — outperforming 40+ competing teams and earning a prize of 15,000 BDT.
See Achievement →