Sachini Jayasekara
Senior Software Engineer at Canva
Sydney, New South Wales, Australia
Summary
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Rockstar🎓
Top SchoolSachini Jayasekara is a Senior Software Engineer based in Sydney with 11 years' experience building robust back-end systems and distributed event-processing infrastructure. Currently at Canva, she brings deep expertise in stream and complex event processing from sustained open-source contributions to prominent projects like Siddhi and WSO2 Carbon Analytics, where she implemented core runtime components, extension support, and cluster-aware event handling. Her work shows a strong focus on reliability, low-level engine architecture, and scalable TCP/event polling mechanisms that keep real-time pipelines resilient. A PhD candidate at the University of Melbourne with an engineering degree from the University of Moratuwa, she blends academic rigor with hands-on production delivery—often tackling the subtle internals that power higher-level features.
11 years of coding experience
Bsc.Eng.(Hons), Bsc.Eng.(Hons) at University of MoratuwaThe University of Melbourne
Stackoverflow
11reputation
42reached
1answer
0questions
Github Skills (13)
complex-event-processing10
javas10
eventing10
stream-processing10
clustering10
java10
tcp9
distributed-systems9
webextension9
data-structures8
data-structure8
wso26
forloop6
Programming languages (3)
Github contributions (5)
siddhi-io/siddhi
Sep 2014 - May 2016
Stream Processing and Complex Event Processing Engine
Role in this project:
Back-end Developer
Back-end DeveloperContributions:144 commits, 17 PRs, 32 pushes in 1 year 8 months
Contributions summary:Sachini's commits focus on implementing core functionalities and enhancements for the Siddhi engine. Their work includes adding critical classes like `SiddhiManager` and `ExecutionPlanRuntime`, which are central to the engine's operation, and making improvements to exception handling and data processing mechanisms. The user also introduced support for extensions, indicating a focus on extending the engine's capabilities. These modifications demonstrate a deep understanding of the engine's architecture and its internal workings, enhancing its capabilities in processing and managing stream data.
stream-processingevent-processingcomplex-event-processingonline-learningcloud
wso2/carbon-analytics
Apr 2015 - Apr 2016
Role in this project:Back-end Developer
Back-end DeveloperContributions:30 commits in 1 year
Contributions summary:Sachini primarily focused on enhancing the event receiver and publisher components, likely within a distributed system architecture. They introduced methods related to cluster event duplication and polling mechanisms across multiple event adapter implementations. The changes also encompassed the addition of a new "processor manager commons module" and improvements to the TCP transport, suggesting work on event processing infrastructure. These modifications indicate a focus on system reliability and management within the event processing framework.
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