Summary
Anshu Singh is a Research Engineer with eight years of experience specializing in synthetic data generation, differential privacy, and privacy-enhancing AI, currently driving those efforts at GovTech Singapore’s Data Privacy Protection Capability Center. He blends academic rigor from an NUS Master’s in AI with practical deployments—from abnormal-activity detection in video to large-scale CASA banking systems—bringing models into production in regulated environments. At GovTech he leads cross-sector collaborations with universities (including Harvard and NUS), industry partners, and policymakers to operationalize generative and statistical approaches for safe data sharing. His work has influenced whole-of-government tooling cited in national reviews and been showcased at top privacy conferences, reflecting both technical depth and policy impact. Comfortable across research, engineering, and stakeholder engagement, he pairs explainable ML and statistical testing with pragmatic software delivery. A less obvious strength is his track record of turning academic research (ACM multimedia oral papers and NUS projects) into tangible dashboards and toolkits used by practitioners and decision makers.
8 years of coding experience
4 years of employment as a software developer
Computer Science, Computer Science at St. Fidelis College
Bachelor’s Degree, Information and Communication Technology, Bachelor’s Degree, Information and Communication Technology at Dhirubhai Ambani Institute of Information and Communication Technology
Master of Computing, Artificial Intelligence, Master of Computing, Artificial Intelligence at National University of Singapore
English, Hindi