Dilruk Perera is a Senior Data Scientist with 11 years of experience building production-grade AI systems and leading cross-functional teams across startups, industry and academia. He combines deep research (PhD-level work and postdoctoral research at NUS) in reinforcement learning, offline RL and explainable models with hands-on deployment experience—shipping clinical AI tools, real-time recommendation platforms, and scalable AWS-based pipelines. As a founder and CTO he delivered a high-throughput recommendation service serving millions of personalized recommendations daily and led end-to-end ML productisation including on-device LLM-based conversational agents. His research has influenced clinical decision support, with publications and submitted IJCAI/JAMIA work on generative world models, offline treatment policy learning and robust temporal representations. He also brings practical integration and QA engineering roots—contributing integration tests for WSO2 ESB connectors—so he understands both model science and reliable system integration. Based in Greater Sydney, he is skilled at translating complex clinical and business problems into auditable, deployed AI solutions that prioritize explainability and real-world impact.
11 years of coding experience
9 years of employment as a software developer
(BSc) Hons Information Technology, (BSc) Hons Information Technology at University of Moratuwa
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at National University of Singapore
Contributions summary:Dilruk's commits primarily focus on the implementation of integration tests for various connectors within the WSO2 Enterprise Service Bus. The commits demonstrate the creation and modification of test classes, likely written in Java, and the setup of test environments to validate the functionality of the connectors. The user's work involves defining test scenarios, verifying API responses, and ensuring the proper integration of the connectors. The changes indicate a focus on ensuring the quality and reliability of the released connector versions.
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