Anthony Blaom
Independent Contractor (Machine Learning) at PumasAI
Auckland, Auckland, New Zealand
Summary
🤩
Rockstar🎓
Top SchoolAnthony Blaom is a mathematical researcher and machine learning consultant with a PhD from Caltech and over two decades of university teaching and research experience across differential geometry, dynamical systems, and fluid mechanics. As a lead contributor and co-creator of MLJ, the Julia machine learning framework supported by the Alan Turing Institute, he brings deep hands-on experience in scientific ML, backend engineering, and open-source project leadership. He has translated abstract mathematical insight into production-grade software for scientific modelling, including collaborations with the German Research Center for Artificial Intelligence on tumor growth and crime spread models. Equally comfortable writing peer-reviewed mathematics and refactoring core ML framework logic, he combines analytical creativity with disciplined software craftsmanship. His background as a stay-at-home parent and long record of teaching also underline patience, clear communication, and an ability to mentor interdisciplinary teams.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (PhD), Mathematics, Doctor of Philosophy (PhD), Mathematics at California Institute of TechnologyThe University of Melbourne
Github Skills (11)
machine-learning10
integrate10
machine-learning-models10
integrations10
data-integration10
python9
backend9
back-end-development9
refactoring8
refactor8
api-design7
Programming languages (10)
Github contributions (5)
JuliaAI/MLJ.jl
Nov 2018 - Jan 2023
A Julia machine learning framework
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:114 reviews, 1867 commits, 763 PRs in 4 years 3 months
Contributions summary:Anthony made extensive changes to the codebase, focusing on revamping aspects of coercion and integration of models. They introduced a new `NodalTrainableModel` structure and incorporated various models, suggesting involvement in the core logic of the framework. The changes to `src/operations.jl`, along with the usage of `predict`, indicate a deep understanding of the machine learning framework and its functionalities.
framework-learningensemble-learningclassificationstatisticspipeline
ablaom/ablaom.github.io
Oct 2017 - Sep 2024
My professional web page
Contributions:3 PRs, 51 pushes, 1 branch in 7 years
professionalweb-page
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