Michael Craig
Senior Machine Learning Engineer at Gigaton
Stony Stratford, England, United Kingdom
Summary
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Top SchoolMichael Craig is a Senior Machine Learning Engineer with nine years of experience applying data science and computational chemistry to hard decarbonisation problems. After a PhD at Trinity College Dublin developing methods to identify electrolysis materials, he moved into industry roles and now builds ML systems to decarbonise heavy industry at Carbon Re. Comfortable bridging research and production, he has hands-on experience from SLAC collaborations to infrastructure analytics early in his career. Based in Stony Stratford and open to roles in Dublin, London, or the SF Bay Area, he blends deep domain knowledge in chemistry with practical ML engineering to turn scientific insights into deployable models. An unexpected strength is his track record of translating complex computational chemistry research into scalable pipelines for real-world energy applications.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computational Chemistry, Doctor of Philosophy - PhD, Computational Chemistry at Trinity College Dublin
Github Skills (9)
visualizations6
kibana5
observability5
elastic5
elasticsearch5
convolutional-neural-networks4
blender3
ai2
graph2
Programming languages (3)
Github contributions (5)
michaelcraiger/fefos
Apr 2022 - May 2023
Code to predict oxide stability induced when anions balance their charges
Contributions:1 release, 6 PRs, 79 pushes in 1 year 1 month
oxidestabilitybalancepredict
michaelcraiger/oer_active_learning
Aug 2021 - Nov 2021
Contributions:12 commits, 11 pushes, 1 branch in 2 months
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