Summary
Janith Weerasinghe is a Senior Data Scientist with 13 years of experience applying machine learning to revenue optimization and integrity problems, currently building reinforcement learning models at The Washington Post. His background spans academic research at NYU and Drexel—where he led large-scale data collection and developed models to detect inauthentic social media engagements and verify authorship—into industry roles at Meta and The Washington Post focused on production-grade sequence models and A/B testing. Janith combines strong systems engineering (scalable data pipelines, HPC experience) with empirical model analysis and deployment, and he has hands-on experience processing millions of records for real-world evaluation. Based in Washington, D.C., he blends research rigor from his PhD work with practical product impact, often surfacing nuanced failure modes through misclassification and feature analyses.
13 years of coding experience
7 years of employment as a software developer
Bachelor of Science Engineering, Bachelor of Science Engineering at University of Moratuwa
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Drexel University
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at New York University
Mahanama College
Sinhalese, English