Abhijit Suprem is a PhD researcher at Georgia Tech specializing in time-aware machine learning and data analytics, focused on building end-to-end systems that adapt to real-time distribution shifts and concept drift. With nine years of experience spanning academia and industry research internships at IBM and international labs, he engineers scalable analytics pipelines from data collection through deployment and monitoring. His work applies to diverse domains—fake news detection, vehicle re-identification, video analytics, and social sensor event detection—and has produced methods for representation learning, interpretability, and reproducibility that earned publications and best paper awards. Notably, he blends database and systems perspectives (distributed query analytics, materialization strategies) with ML robustness, enabling cloud-native, sharded deployments that maintain performance under adversarial or evolving data streams.
9 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Georgia Institute of Technology
Computer Science, Computer Science at Columbia University in the City of New York
BS, Electrical Engineering, BS, Electrical Engineering at California State University-Fresno
Contributions:3 releases, 1276 commits, 45 PRs in 3 years 5 months
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Abhijit Suprem - PhD In Databases And Machine Learning