Thomas Markovich
Senior Staff Machine Learning Research Scientist at Twitter
Cambridge, Massachusetts, United States
Summary
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Senior🎓
Top SchoolThomas Markovich is a Senior Staff Machine Learning Research Scientist with a decade of experience building high-performance, massively parallel systems that turn unstructured text into actionable knowledge. Rooted in a Houston upbringing inspired by NASA, he blends rigorous academic training (PhD in Chemical Physics from Harvard) with industry leadership at Forge.AI, Gamalon, Twitter, and Cash App to develop production-grade knowledge graphs, novel inference algorithms, and memory-efficient graph architectures. He has repeatedly delivered large algorithmic and software speedups—ranging from order-of-magnitude performance gains in probabilistic programming to 80x reengineering wins—while leading cross-team research and devops for large-scale deployments. Equally comfortable in C/Fortran and Python, Thomas specializes in graph alignment, multirelational embeddings, and QA/QC metrics that bridge scientific rigor with business requirements.
10 years of coding experience
13 years of employment as a software developer
BS, Physics, Mathematics, BS, Physics, Mathematics at University of HoustonPhD, Chemical Physics, PhD, Chemical Physics at Harvard University
Github Skills (98)
bayesian-methods10
graph-embedding10
probabilistic10
bengali9
document-classification9
statistics9
scalable9
gnn9
probabilistic-programming9
classifier9
python9
wordnet9
gpu9
deep-learning9
glove9
Programming languages (11)
Github contributions (5)
tmarkovich/dissertation_template
Jul 2016 - Oct 2018
Dissertation Template for Harvard
Contributions:14 commits, 4 PRs, 13 pushes in 2 years 3 months
templatedissertation-templateharvard
tmarkovich/PyTorch-BigGraph
Aug 2021 - Dec 2022
Generate embeddings from large-scale graph-structured data.
Contributions:1 PR, 26 pushes, 9 branches in 1 year 4 months
structuredembeddingsmachine-learningscalegraph-neural-networks
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