Michael Boratko
Research Scientist at Google DeepMind
Connecticut, United States
Summary
👤
Senior🎓
Top SchoolMichael Boratko is a research scientist at Google DeepMind with 14 years of experience blending representation learning and probabilistic modeling to advance NLP and structured prediction. Holding a PhD in Mathematics and an MS in Computer Science from UMass Amherst, he has led translational research—coordinating large grants (IBM AI Horizons, DARPA) and supervising numerous graduate projects—while publishing work that tightens foundational ML components. His background spans academic rigor and hands-on engineering: founder of an IT consulting firm, full-stack developer, and long-serving Army National Guard musician and squad leader, illustrating rare operational discipline and cross-domain leadership. At DeepMind he focuses on high-impact, foundational improvements to machine learning systems that enable practical solutions at scale.
14 years of coding experience
21 years of employment as a software developer
BA, Mathematics, Economics, 4.0, BA, Mathematics, Economics, 4.0 at Central Connecticut State UniversityDoctor of Philosophy - PhD, Mathematics, Doctor of Philosophy - PhD, Mathematics at University of Massachusetts Amherst
Github Skills (145)
fastapi10
python10
json-schema10
swagger10
deep-learning10
gpu10
async10
api10
rest10
json10
machine-learning10
redmine10
mathjax10
numpy9
neural-network9
Programming languages (15)
Github contributions (5)
iesl/protoqa-evaluator
Nov 2019 - Jan 2023
Evaluation functions for ProtoQA dataset
Contributions:77 commits, 19 pushes, 4 branches in 3 years 2 months
evaluation-function
mboratko/redmine_latex_mathjax
Aug 2012 - Jan 2018
A plugin to enable mathjax on redmine
Contributions:28 commits, 8 PRs, 16 pushes in 5 years 5 months
mathjaxredmine
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