Kiran Kokilepersaud
Applied Scientist at Amazon
Atlanta, Georgia, United States
Summary
👤
Senior🎓
Top SchoolKiran Kokilepersaud is a PhD candidate in Electrical and Computer Engineering at Georgia Tech specializing in foundational and applied self-supervised learning (SSL), with nine years of research and engineering experience. He develops theory-driven SSL methods—leveraging information theory to balance mutual information and representation dimensionality—and practical regularizers like HEX that improve local representational spread across multiple SSL algorithms. His work has been applied to medical imaging, autonomous driving, seismology, and multimodal clinical datasets, including creating a longitudinal ophthalmology dataset for biomarker detection. Kiran has industry experience probing model representations and building multimodal fusion at Apple and has a background spanning robotics simulation, cybersecurity research, and ASIC verification, reflecting broad systems and signal-processing fluency. He combines deep theoretical insight with hands-on data and tooling work, often exploiting domain-specific noise patterns (e.g., fisheye distortions) to improve robustness in real-world sensing.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at Georgia Institute of TechnologyBachelors, Electrical Engineering, Bachelors, Electrical Engineering at University of Maryland
Github Skills (13)
contrastive-learning9
pytorch-lightning8
representation-learning8
self-supervised-learning8
transformer-models7
simulation6
ros6
robotics-simulation5
pytorch5
computer-vision3
machine-learning2
deep-learning2
semantic-segmentation2
Programming languages (1)
Github contributions (5)
kkokilep/Research_Papers
Sep 2022 - Feb 2023
Contributions:120 commits, 27 pushes in 4 months
olivesgatech/OLIVES_Dataset
Jun 2022 - Aug 2023
Contributions:18 pushes, 1 comment in 1 year 2 months
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