Max K
Senior Data Scientist
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolMax K is a Senior Data Scientist with seven years of industry experience and a deep academic foundation in numerical analysis, statistics, computer science, and physics from the University of Toronto. He has spent the bulk of his career at Microsoft across Cambridge and Redmond, progressing from Data Scientist II to Senior Scientist and now Senior Data Scientist, applying computer vision, machine learning, and applied mathematics to production problems. His background includes quantitative risk modeling and big data engineering at Scotiabank and Huawei, giving him a rare mix of research rigor and applied product delivery. Max enjoys experimenting with unconventional ML applications in robotics and RC hobbies, often exploring ideas outside of paid work that inform creative, production-ready solutions. Based in Cambridge, MA, he blends academic-level statistical thinking with hands-on engineering to drive scalable, interpretable models in enterprise settings.
7 years of coding experience
17 years of employment as a software developer
Master of Science Numerical Analysis - Computer Science, Master of Science Numerical Analysis - Computer Science at University of TorontoHonours Bachelor of Science Statistics Computer Science Physics, Honours Bachelor of Science Statistics Computer Science Physics at University of Toronto - University College
English, Russian, Ukrainian, German
Github Skills (21)
recommendation-engine10
jupyter-notebook10
rating10
recommender10
artificial-intelligence9
recommendation-system9
python9
machine-learning9
interpretation9
recommender-system9
ranking9
ai9
azure8
deep-learning8
kubernetes8
Programming languages (1)
Github contributions (4)
microsoft/seismic-deeplearning
Jul 2020 - Aug 2020
Deep Learning for Seismic Imaging and Interpretation
Contributions:13 commits in 1 month
seismic-imaginggeophysicsdeep-learningmachine-learningimaging
maxkazmsft/CNN-for-ASI
Aug 2019 - Aug 2019
Tutorial: Convolutional Neural Networks for Automated Seismic Interpretation
Contributions:2 commits in 3 days
deep-learningconvolutionalneural-networksinterpretationconvolutional-neural-networks
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