Data Science & Software Engineering Enthusiast. I’m Danuka Lakshan, a Data Science Engineering student with experience in building AI-powered applications, deploying machine learning models, and creating responsive web solutions using React, Node.js, and Express.js. I’m passionate about problem-solving and developing user-focused applications that prioritize security and data privacy. Open to full-time roles in data science, machine learning, or software development—let’s connect if you're looking for someone driven by impact and innovation!
Keywords: Machine Learning / Deep Learning |
Conference Papers
Mineth Weerasinghe, Himindu Kularathne, Methmini Madhushika, Danuka Lakshan, Nisansa de Silva, Adeesha Wijayasiri, and Srinath Perera, "From Monolith to Microservices: A Comparative Evaluation of Decomposition Frameworks", in Recent Trends and Challenges in Information Systems and Technologies, 2026, pp. 309--320. doi: 10.1007/978-3-032-32032-2_29
Preprints
Mineth Weerasinghe, Himindu Kularathne, Methmini Madhushika, Danuka Lakshan, Nisansa de Silva, Adeesha Wijayasiri, and Srinath Perera, "TripleBound: Triplet-Guided Heterogeneous Graph Learning for Microservice Decomposition", arXiv preprint arXiv:2609.11212, 2026
ActivePI: Sandareka Wickramanayake
We propose to advance automated program repair by leveraging natural language processing techniques, iterative repair strategies, and explainable AI frameworks to enhance accuracy, robustness, and interpretability of repair systems.