Abhishek Bhatia is a Staff Machine Learning Engineer in New York with 11 years of experience building large-scale ML systems across startups, major tech firms and research labs. He has driven production ML at scale—designing active/self-learning pipelines, mislabeled-sample detectors, and compliant classification models that saved millions in manual costs and earned two US patent filings. His background blends rigorous research (Columbia publications and RL robustness work) with hands-on engineering in Go and Python, shipping scalable analytics and security tooling for IoT and infrastructure. At PayPal he expanded models across products and subsidiaries while mentoring teams from early stages to 15+ ML engineers; more recently he worked on search and e-commerce ML at TikTok and now leads ML efforts at LinkedIn. He combines an aptitude for reducing labeling cost and operational overhead with a taste for elegant, practical solutions—reflected in both academic work and production wins.
11 years of coding experience
7 years of employment as a software developer
Bachelor’s Degree Information Technology, Bachelor’s Degree Information Technology at University School of Information, Communication & Technology (USICT)
Master’s Degree Computer Science, Master’s Degree Computer Science at Columbia University
Graduate School/Professional Certificate Computer Science, Graduate School/Professional Certificate Computer Science at Stanford University
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.