I'm Dilusha Madushan, a Software Engineer on WSO2's Identity & Access Management team, and a Machine Learning Engineer building agentic AI systems at CML Insight. I design and ship secure, production-grade software end to end, from backend architecture to large language model orchestration.
What motivates me is the intersection of rigorous engineering and intelligent systems: building software that is secure and reliable at enterprise scale, while pushing what's possible with AI agents and automation. Every system I build, from identity platforms at WSO2 to LLM-driven agents at CML Insight, is guided by the same standard: measurable impact, clean architecture, and continuous learning.
Specialized in Data Science and Machine Learning Engineering. Key coursework spanned Advanced Algorithms, Data Science, Machine Learning, Data Mining, and AI Agent Architectures.
Physical Science stream. Secured 3 A's (Mathematics, Physics and Chemistry) with a District Rank of 32 in Gampaha District.
Completed foundational secondary studies, building the academic groundwork that led into the Advanced Level Physical Science stream.
A production student management system currently running at Negombo South International School Network's Piliyandala branch. Includes a REST API-backed sub-system giving parents visibility into their child's academic information. Led back-end development with Spring Boot and MySQL.
Analyzed Bitcoin transaction data to identify illicit addresses using the labeled BABD-13 dataset. Built a machine learning classifier to flag suspicious addresses based on statistical patterns in their transaction history.
Moments from career milestones, office life, and university years.
Dilusha Madushan is a Software Engineer at WSO2 and a Machine Learning Engineer at CML Insight, with a BSc Eng. (Hons) in Computer Science & Engineering from the University of Moratuwa. He works across full-stack development, identity & access management, and agentic AI systems, and is open to full-stack, backend, and applied AI/ML engineering opportunities.
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