Computer Engineering professional with a strong interest in Software Engineering and Full-Stack Development. Hands-on experience in full-stack web development, AI-powered systems, and scalable application development. Experienced in REST API integration, database management, functional testing, Selenium, and TestNG. A proactive, rapid learner dedicated to building clean, maintainable codebases, and solving high-impact technical problems.
Projects Completed
Months Industrial Work Experience
Certifications
Technologies
Research Accuracy
End-to-end solutions across software development, machine learning, and intelligent systems.
Building scalable web applications, from modern web interfaces to enterprise-level platforms with authentication, APIs, and real-time features.
Developing intelligent models for classification, object detection, and natural language understanding, with experience in AI-driven research and computer vision systems.
Developing real-time detection and analysis systems using deep learning, image preprocessing, and edge-deployable AI techniques.
Designing user-friendly, accessible, and modern interfaces with a strong focus on UX and responsive design.
Ensuring software quality through structured functional testing and automated test suites, identifying bugs early and validating application behaviour across scenarios.
Technologies I work with daily to build robust, scalable applications.
A timeline of my education and professional growth.
My academic background and qualifications
BSc. (Hons) in Computer Engineering
University of Jaffna, Sri Lanka
Computer Engineering graduate with hands-on experience in full-stack development, software engineering, and quality assurance, with additional experience in machine learning and embedded systems.
Secondary Education — G.C.E. Advanced Level
Mt. Vijaya National College, Matale
Completed GCE Advanced Level in the Physical Science stream with strong results in Combined Mathematics, Physics, and Chemistry.
My professional journey and internships
Software Engineer Intern
Sri Lanka Telecom PLC
Developed and integrated end-to-end features for enterprise applications using MERN and PERN stacks, covering frontend, backend, RESTful APIs, and database components. Contributed to the Business Continuity Management System (BCMS) and Learning Path Management System (LPMS), including ERP integration, database management, production debugging, and technical troubleshooting. Managed Bitbucket and GitHub repositories, coordinated development tasks, and led the development team to support effective collaboration and version control.
Internship Trainee
People's Bank — Rattota Branch
Gained well-rounded experience in workplace.
Below you can see examples of my recent work.
Have a project you would like to discuss?
Let's make something great together!
Full-stack e-commerce platform for managing and purchasing computer products. Features product search, cart, checkout, order placement, profile management, and an admin panel for products, users, orders, and reviews.
Full-stack MERN system with roles for customers, receptionists, housekeeping, and admin — covering bookings, room management, and operations.
Full-stack MERN system for booking labs and borrowing equipment with real-time availability tracking.
IoT-based device for automated medication tracking with real-time scheduling via Firebase-powered web interface.
Intelligent assistant combining PDF analysis, academic paper discovery, and conversational AI for researchers.
A clean web application for discovering movies, browsing details, and exploring genres via the TMDB API.
Convert currencies using real-time and historical exchange rate data with a clean, intuitive interface.
System to collect and manage course and lecturer feedback within the faculty with admin reporting.
Platform for discovering, creating, and sharing recipes with a full-stack React and Node.js architecture.
Exploring machine learning and computer vision to solve real-world infrastructure problems.
Developed a real-time pothole detection system using an ensemble of YOLOv8m and MobileNetV2 models, achieving 90.90% accuracy across challenging conditions including low-light, rain, and cluttered environments. Integrated advanced preprocessing techniques (Gamma Correction and CLAHE for contrast enhancement), model optimization, and edge deployment for scalable smart road monitoring.
The demo shows the YOLOv8m + MobileNetV2 ensemble detecting potholes in real-time under low-light and wet-road conditions.
References from academic mentors and industry professionals who can verify my technical skills, project experience, and professional work ethic.
Senior Business Continuity Manager
Business Continuity Consultant & Corporate Trainer
Senior Lecturer Grade II
Department of Computer Engineering, Faculty of Engineering
Have a project in mind or just want to say hello? I'd love to hear from you.