Alexander Radovic

Machine Learning Engineer at Meta

New York, New York, United States
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Summary

👤
Senior
🎓
Top School
Alexander Radovic is a Machine Learning Engineer with nine years of experience translating cutting-edge deep learning research into high-impact production and scientific outcomes. With a PhD in High Energy Particle Physics from UCL, he led development of NOvA’s first convolutional vision network (CVN), a model that boosted analysis performance by ~30% and saved the experiment the equivalent of roughly $72M in equipment value. He has moved between academia and industry—leading ML research teams at Borealis AI and now engineering at Meta—bridging large-data scientific analysis, rigorous model validation, and deployable ML systems. Comfortable in Python and C++, he combines mathematical modeling and hands-on engineering to spot edge cases and build robust calibration and verification tools. Based in New York but with a global track record from London to Toronto and Chicago, he’s equally fluent presenting to public audiences and to top technical peers.
code9 years of coding experience
job8 years of employment as a software developer
bookUniversity College London
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Stackoverflow

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Github Skills (11)

recurrent-neural-networks4
python3
python-modules3
artificial-neural-networks3
singularity2
machine-learning2
artificial-intelligence2
machine-learning-algorithms2
pytorch2
multimodal1
multimodal-deep-learning1

Programming languages (2)

RoffPython

Github contributions (5)

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Contributions:56 commits, 43 pushes, 1 branch in 4 months
Contributions:57 commits, 26 pushes, 1 branch in 1 year 2 months
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