As a final-year Computer Science undergraduate passionate about building resilient, automated, and efficient systems. With hands-on experience in CI/CD, containerization, cloud services, and Linux tuning, I aim to bridge the gap between development and operations to deliver scalable software faster and more reliably.
// Hey! I'm a final year computer science undergraduate.
// And I'm a software engineer with a DevOps mindset—equally comfortable writing backend code and automating deployments. I believe modern engineering means owning the full lifecycle, from writing clean code to deploying it on scalable infrastructure. With experience in both application development and system optimization, I bring an end-to-end approach to software delivery.
// From coding to deployment, I'm involved throughout the SDLC—building, testing, and scaling systems. I frequently use Java, Python, Docker, and github-actions and beyond that, I stay hands-on with a broader stack to adapt to the project's needs.
I've worked as a freelance software developer, delivering custom solutions for real-world clients while ensuring clean, scalable code. I actively contribute to open source projects, collaborating with global developer communities and upholding industry best practices through code reviews, version control, and continuous learning.
// My DevOps toolkit includes Docker, Kubernetes, GitHub Actions, Terraform, and Linux system tuning, alongside other tools and practices that support automation, scalability, and performance optimization.
// My expertise includes React.js, Node.js, Python, MongoDB, and various modern web technologies.
Develop an interactive school portfolio showcasing school achievements, events, and student projects. The portfolio includes sections for school history, achievements, events, and student projects.
Technologies: React Js, Node Js, Express Js, MongoDB
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Developed a secure authentication & authorization API with Spring Security & JWT. Integrated AWS RDS and implemented role-based access control (RBAC) for improved security and efficiency.
Technologies: SpringBoot, AWS RDS, MySQL, JWT
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Configured a distributed computing cluster using virtual machines, enhancing computational efficiency. Automated network setup, SSH access, and MPI configuration for high-performance computing.
Technologies: Linux, Bash, SSH, MPI
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Developed a JavaFX-based financial management system for tracking loans and repayments, enhancing user experience with a clean and intuitive desktop interface.
Technologies: Java, JavaFX, MySQL
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Engineered a RESTful API for real-time image analysis using AI-based skin condition detection, deployed on AWS Lambda. Utilized Flask and Docker to streamline development and deployment.
Technologies: AWS Lambda, Flask, Docker, AI
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I'm always open to discussing new opportunities and interesting projects.
Feel free to reach out through any of these channels.
I'm currently available for freelance work and full-time opportunities. I typically respond within 24 hours.
Browse through my GitHub repositories and see what I've been working on. These are some of my public repositories showcasing various projects and skills.
Exploring cutting-edge technologies and contributing to the academic community through research and publications.
Investigating the application of genetic algorithms to optimize the Linux kernel for improved performance and resource management.
5th Student Symposium, Faculty of Computing 2025, General Sir John Kotelawala Defence University, Sri Lanka
Review of recent advancements in multi-modal AI techniques for breast cancer diagnosis, focusing on the integration of imaging and clinical data to improve diagnostic accuracy.
Tuning kernel parameters using Genetic Algorithms to enhance system performance and energy efficiency in server environments.
Leveraging AI/ML models to automate resource allocation and optimize performance in Linux-based infrastructures.
Building CI/CD pipelines and infrastructure-as-code solutions to streamline application delivery and system management.
Conducting empirical analysis using tools like Sysbench to measure the impact of kernel tuning on database and server workloads.