Blake Cook
Senior Machine Learning Engineer at Montu
Melbourne, Victoria, Australia
Summary
👤
Senior🎓
Top SchoolBlake Cook is a Senior Machine Learning Engineer based in Melbourne with 10 years of experience bridging mathematical neuroscience and production ML. Trained in applied mathematics and mathematical biology, he moved from modelling nonlinear PDEs and stochastic systems in epilepsy research to shipping robust ML solutions for biomedical signals like EEG and ECG. At Seer and now Montu he has owned the full pipeline from dataset engineering and model development to cloud deployment and MLOps, prioritising code quality, testing and maintainability. He brings a probability- and PDE-informed perspective to ML problems, which helps him design principled approaches for noisy, complex physiological data. Outside work he’s a self-described “maths person” who can’t quit Vim, hinting at a pragmatic, keyboard-first engineering style.
10 years of coding experience
7 years of employment as a software developer
The University of Melbourne
English, python
Github Skills (59)
ncurses10
machine-learning10
linux10
data-management10
ruby10
clearml10
deep-learning10
aws10
ai10
version-control10
experiment10
trains10
experiment-manager10
spotify10
devops10
Programming languages (6)
Github contributions (5)
BlakeJC94/kaggle-hms-brain-activity
Mar 2024 - Mar 2024
Contributions:110 pushes, 7 branches in 1 month
BlakeJC94/quaker
Sep 2022 - Jan 2023
Lightweight python API to USGS earthquake dataset
Contributions:1 release, 271 commits, 6 PRs in 4 months
apiseismologypythonearthquakedataset
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