Hi, I'm Afthal Ahamad
Junior Full Stack Developer
Open Source Contributor
Machine Learning Explorer
Junior Full Stack Developer building real-world web applications using React.js, Node.js, Express.js, PHP, Firebase, MongoDB, and MySQL. Passionate about open source, scalable software, and machine learning. Based in Kegalle, Sri Lanka.
Featured Projects
Check out some of my recent work
GIST Campus Website
A campus information and student services website built and hosted for GIST Campus.
React.jsTailwind CSSFirebase
- Built and deployed a fully functional campus website serving student services and information
- Collaborated with the Oncode team using Git workflows for seamless deployment
OBA Membership Management System
A membership management system to handle subscriptions, payment plans, and member records.
PHPTailwind CSSMySQLJavaScript+2
- Developed a comprehensive membership management system for subscription payment plans
- Implemented tracking for member payments and records
Lanka Mall – E-Commerce Platform
A full-stack e-commerce platform with authentication, product management, and a responsive UI.
React.jsTailwind CSSNode.jsExpress.js+2
- Built a full-stack e-commerce platform with authentication and product management
- Developed responsive frontend using React.js and Tailwind CSS
Technical Skills
My expertise across various technologies and tools
Java
JavaScript
PHP
TypeScript
Python
C++
HTML
CSSContributions
Open Source & Contributions
Projects and tools I've contributed to or open-sourced for the community
Open Source
Hugin Mobile – Italian Translation Contribution
Contributed to the open-source Hugin Mobile app by adding Italian language support to improve accessibility for Italian-speaking users.
React NativeJSONLocalization
- Added Italian language translations to the Hugin Mobile application
- Worked with the project’s localization files to implement multi-language support
- Improved accessibility of the app for Italian-speaking users
Open Source
International Neuroinformatics Coordinating Facility (INCF) - Benchmarking Tool for ASP/IJ
Developed and merged a performance benchmarking tool for the Active Segmentation Platform for ImageJ. This tool compares CPU and GPU execution times of convolution filters, calculates speedup multipliers, and exports results to CSV — laying the foundation for the GSoC 2026 Parallel Engine project with TornadoVM.
JavaSwingImageJJUnit
- Designed and implemented a new Benchmark window that displays CPU vs GPU execution times side-by-side
- Added automatic speedup calculation to clearly show performance gains (e.g. 5x, 18x faster)
- Integrated the benchmarking UI into the existing filter workflow
Recommendations
What mentors and colleagues say about my work