Summary
Arpit Kapoor is a data scientist and PhD-trained researcher with nine years' experience building and deploying AI/ML solutions across research and industry, now working as a Postdoctoral Research Associate at the University of Sydney. His background blends advanced Bayesian and MCMC methods from doctoral research with practical production work—deploying PySpark anomaly detection pipelines, computer-vision models for sports analytics, and multivariate bias-correction on national HPC systems. He has taught core machine learning courses at UNSW and contributed applied climate-science computing at the Bureau of Meteorology, demonstrating an ability to bridge theory, pedagogy, and large-scale engineering. Comfortable moving models from prototype to HPC or cloud production, he’s particularly skilled at translating statistical rigor into robust, scalable workflows for messy, real-world data.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Technology, Computer Science and Engineering, Bachelor of Technology, Computer Science and Engineering at SRM IST Chennai
UNSW Sydney
English, Hindi