Hi, I'm
Mohamed Sharfan
IT Undergraduate
BICT(Hons)(R) | University of Ruhuna
Information and Communication Technology
An aspiring AI/ML engineer and ICT undergraduate with a strong foundation in Python, Java, and web development. I have hands-on experience building responsive web applications, integrating APIs, and implementing interactive features such as video calls and chat systems. Passionate about learning new technologies, solving real-world problems, and creating user-focused digital solutions. I thrive in collaborative environments and enjoy contributing to innovative projects that combine AI, software development, and cloud technologies.
I have a passion for coding and problem-solving, which drives me to constantly explore new technologies and improve my skills. In addition to my love for technology, I enjoy staying active and competitive by playing badminton, chess, and table tennis. These activities not only keep me physically fit but also help sharpen my strategic thinking and concentration, balancing my interests between mental and physical challenges. Whether it's debugging code or mastering a new move in a game, I thrive on continuous learning and pushing my boundaries.
A full-stack web application that connects users and lets them exchange skills. Features authentication, dynamic listings, and a clean UI.
AI-powered plant health monitoring system that detects and classifies leaf diseases using computer vision and deep learning techniques.
An interactive data dashboard that visualizes COVID-19 statistics with real-time data, charts, and filters for different regions.
View on GitHubA collaborative JavaScript application focused on team management and coordination with a dynamic and responsive interface.
View on GitHubA RESTful backend API for user registration with secure authentication, input validation, and a clean architecture.
View on GitHubFrontend for the SEDS Sri Lanka project management and team collaboration web application built with TypeScript.
View on GitHubA machine learning model that predicts housing prices using regression techniques and exploratory data analysis on real-world datasets.
View on GitHubA full-stack e-commerce clothing website with product listings, shopping cart, checkout, order management, and a dedicated admin panel.
View on GitHubLeave a message I will try to reply as soon as possible.
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