Sandaru Seneviratne is a data scientist and ML engineer with a PhD and a decade of experience applying research-grade machine learning to real-world problems across academia and industry in Australia. Currently an Honorary Lecturer and Data Scientist at The Australian National University and Crayon, he has bridged research and production through roles from PhD researcher to research fellow while building tools such as NER toolkits and pipelines for knowledge graph construction. His work spans applied health and environmental studies—contributing engineering support to the Mother and Child 2020 project that analyzed bushfire and COVID-19 impacts—and text simplification and factuality detection supervision. Comfortable moving between software engineering and statistical research, he brings hands-on implementation experience alongside academic rigor and a track record of mentoring and teaching. An understated strength is his ability to translate complex NLP research into maintainable engineering artifacts that support multidisciplinary teams.
10 years of coding experience
6 years of employment as a software developer
Australian National University
Bachelor of Science (B.Sc.)(Hons) Degree Computer Science and Engineering, Bachelor of Science (B.Sc.)(Hons) Degree Computer Science and Engineering at University of Moratuwa
Contributions:8 PRs, 5 pushes, 10 branches in 1 year 5 months
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