Vaisakh Shaj
Postdoctoral Researcher at The University of Edinburgh
City of Edinburgh, Scotland, United Kingdom
Summary
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Senior🎓
Top SchoolVaisakh Shaj is a postdoctoral researcher at the University of Edinburgh’s Machine Learning Group with nine years of experience spanning academia and industry at the intersection of machine learning, sequential modelling, and robotics. He completed a PhD at KIT working on robot learning and sequential models, and previously contributed to deep learning for vision and audio at IISc and Intel. In industry he helped design McAfee’s first production deep-learning malware detection engine (ATD-DNN) and was a finalist for McAfee’s CEO Innovator of the Year, evidencing his ability to move research into large-scale production. His research portfolio includes publications at ICML, ICLR, NeurIPS, CVPR, CoRL and RSS, and work on adversarial robustness that bridges security and model reliability. A UK Global Talent Visa recipient, he combines rigorous theoretical grounding with hands-on deployment experience across security, audio, and robotics domains.
9 years of coding experience
2 years of employment as a software developer
Bachelor's Degree, Electrical and Electronics Engineering, Bachelor's Degree, Electrical and Electronics Engineering at TKM College of Engineering , KollamDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at Karlsruhe Institute of Technology (KIT)Master's Degree, Machine Learning And Computing - Department of Mathematics, Master's Degree, Machine Learning And Computing - Department of Mathematics at Indian Institute of Space Science and TechnologyDoctor of Philosophy - PhD, Robot Learning, Doctor of Philosophy - PhD, Robot Learning at University of Lincoln
English, Malayalam, Hindi
Github Skills (3)
deep-reinforcement-learning5
deep-learning4
reinforcement-learning4
Programming languages (3)
Github contributions (5)
vaisakh-shaj/DeepReinforcementLearning
Apr 2018 - Oct 2018
Experiments with Deep Reinforcement Learning (CS 294 deep reinforcement learning fall 2017)
Contributions:50 commits, 1 PR, 49 pushes in 6 months
falldeep-learningreinforcement-learningdeep-reinforcement-learningreinforcement
ALRhub/HiP-RSSM
Jul 2022 - Jul 2022
Contributions:15 commits, 3 pushes in 7 days
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