Amila Weerasinghe
Sr. Applied Scientist at Amazon
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolAmila Weerasinghe is a Senior Applied Scientist in San Diego with a decade of experience building ML solutions spanning temporal graph neural networks, fraud detection, NLP, computer vision and time-series modeling. With a PhD in theoretical condensed matter physics and postdoctoral work in cancer genomics, he combines deep theoretical math and numerical methods with practical ML engineering to tackle high-stakes problems. At Amazon he moved from fraud models to designing temporal graph-based systems for complex, evolving relationships; earlier roles include medical NLP and genomics where he built near-98% accurate mutation classifiers. He is motivated by discovering new phenomena through modeling and enjoys translating analytic insight from condensed matter and genomics into production-ready machine learning.
10 years of coding experience
9 years of employment as a software developer
Bachelor of Science (BS), Physics, Honor's, Bachelor of Science (BS), Physics, Honor's at University of PeradeniyaDoctor of Philosophy (Ph.D.), Theoretical Condensed Matter Physics, Doctor of Philosophy (Ph.D.), Theoretical Condensed Matter Physics at Washington University in St. LouisKingswood College Kandy (Highschool)
Github Skills (8)
hotspot10
proximity10
mutation9
python7
mining5
genomics4
bioinformatics4
data-mining3
Programming languages (2)
Github contributions (5)
amilacsw/Density
Oct 2016 - Nov 2016
Contributions:25 pushes in 20 days
amilacsw/hotspot3d
Oct 2016 - Oct 2016
Contributions:12 pushes in 21 days
hotspotpythonmutationproximity
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