Sandaru Jayawardana is a Computer Science PhD candidate and casual academic in Sydney specializing in privacy-preserving data analytics, numerical optimization, and trustworthy AI, with a particular focus on local differential privacy and correlation-induced privacy leakage. He blends rigorous research—recently as a visiting scholar at the University of Maryland on correlated privacy leakage—with hands-on software engineering, contributing to the Ballerina language runtime and compiler at WSO2. With five years of experience spanning embedded vision systems, RTL/embedded programming, and backend Java development, he excels at turning theoretical advances into production-quality systems. He teaches algorithms and mentors cybersecurity capstone projects, demonstrating an ability to communicate complex ideas to students and engineers alike. Active in open source, his Ballerina contributions include runtime bug fixes and compiler refactors that improve language conformance and stability. Sandaru is seeking roles that bridge deep research and robust system-building, bringing both low-level optimization experience and practical security-minded engineering.
5 years of coding experience
2 years of employment as a software developer
B.Sc. (Hons) Engineering Electronic and Telecommunication Engineering, B.Sc. (Hons) Engineering Electronic and Telecommunication Engineering at University of Moratuwa
Contributions:229 reviews, 389 commits, 64 PRs in 1 year 6 months
Contributions summary:Sandaru's commits primarily focus on addressing issues within the Ballerina programming language runtime. Their contributions involve fixing runtime issues, string iterator problems, and addressing issues related to foreach string iteration. The user also worked on refactoring code within the compiler and related to query-related improvements. Further, they are merging branches.
Contributions:240 pushes, 54 branches in 1 year 7 months
compilerprogramming-languageinterpreterballerina
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Sandaru Jayawardana - Casual Academic at University of Sydney