Sean Kelley is a Machine Learning Engineer with 12 years of software experience who blends cloud-scale engineering from Microsoft with academic training in Climate Change and AI from the University of Reading. He has shipped cross-platform SDKs and hyper-scale control-plane features at Microsoft, helped teams migrate off legacy stacks, and now applies ML to climate problems while working at Datatonic in London. Equally comfortable mentoring interns and squashing production bugs, Sean pairs rigorous CS and math fundamentals with practical product sense from roles spanning research labs to enterprise engineering. He holds dual bachelor’s degrees in Computer Science & Mathematics and Spanish, and brings an interdisciplinary perspective—often translating complex technical ideas across cultures and teams.
12 years of coding experience
7 years of employment as a software developer
Pinkerton Academy
Master of Science - MS, Climate Change and Artificial Intelligence (AI), Master of Science - MS, Climate Change and Artificial Intelligence (AI) at University of Reading
Deep Learning Nanodegree, Deep Learning Nanodegree at Udacity
Bachelor's degree, BS: Mathematics, Computer Science; BA: Spanish, Bachelor's degree, BS: Mathematics, Computer Science; BA: Spanish at University of Massachusetts Amherst
Contributions:2 commits, 1 push in 2 years 9 months
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Sean Kelley - Machine Learning Engineer at Datatonic