Aman Hussain
ML Research Engineer at Waymo
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolAman Hussain is an applied scientist with nine years of experience building production-grade ML systems and advancing AI research, currently working on artificial general intelligence at Amazon in London. He combines strong academic credentials—an MSc in Artificial Intelligence (cum laude) from the University of Amsterdam—with hands-on impact: founding a startup that boosted elevator-failure prediction precision from 21% to 88% and deploying models with IoT teams. His background includes selective research stints at CERN and KONE where he redesigned VAE architectures and framed machine logs as language sequences for anomaly detection, demonstrating a talent for translating domain structure into model gains. Equally comfortable in research and production, he has a track record of shipping deployed solutions that cut reconstruction error and improve anomaly detection in high-stakes systems.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Technology (B.Tech.) in Computer Science and Engineering, Bachelor of Technology (B.Tech.) in Computer Science and Engineering at Vellore Institute of TechnologyMaster of Science - MS Artificial Intelligence, Master of Science - MS Artificial Intelligence at University of Amsterdam
Github Skills (10)
language-model9
text-normalization7
recurrent-neural-networks7
paper5
text-to-speech5
tensorflow4
deep-learning3
neural-network2
linux1
benchmark1
Programming languages (5)
Github contributions (5)
AmanDaVinci/lifelong-learning-baselines
Jun 2021 - Jun 2021
Contributions:10 commits, 1 push, 1 branch in 1 day
AmanDaVinci/DeepLabs
Sep 2017 - Apr 2019
Contributions:39 pushes, 1 branch in 1 year 6 months
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