Andriy Burkov
Founder And Builder at True Positive Inc.
Guelph, Ontario, Canada
Summary
🤩
Rockstar🎓
Top SchoolAndriy Burkov is a founder, author, and machine learning engineer with a PhD in AI and over 15 years of hands-on experience in ML, NLP, and productionizing data-driven systems. He writes widely read practical books—The Hundred-Page Machine Learning Book and The Hundred-Page Language Models Book—and publishes reproducible Python notebooks that accompany his texts. Andriy has led data science teams at Gartner, built production chatbots and web crawlers that retrieve business-critical information, and trained Transformers from scratch as well as fine-tuned them for diverse tasks. Fluent in English, French, and Russian, he combines deep academic training with startup grit, currently building ChapterPal and advising applied-AI products. Known for turning complex ML concepts into crisp, usable tools, he also emphasizes reducing hallucinations in conversational agents—an uncommon practical focus. Based in Guelph, Ontario, he balances enterprise-scale engineering with accessible teaching through books and newsletters.
11 years of coding experience
19 years of employment as a software developer
PhD, Computer Science — Artificial Intelligence, PhD, Computer Science — Artificial Intelligence at Université LavalBSc, Computer Engineering and Networking, BSc, Computer Engineering and Networking at Sevastopol State Technical University
French, English, Russian, python, java
Github Skills (14)
matplotlib10
scikit10
machine-learning10
machine-learning-algorithms10
python10
numpy10
scikit-learn10
docbook9
storybook9
pca9
textbook9
imap8
omap8
keras7
Programming languages (15)
Github contributions (5)
aburkov/theMLbook
Jan 2019 - Mar 2020
The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.
Role in this project:
Data Scientist
Data ScientistContributions:29 commits, 1 PR, 29 pushes in 1 year 2 months
Contributions summary:Andriy primarily contributed to the creation of Python scripts to generate illustrations related to machine learning concepts. Their work involved implementing autoencoders, density estimation, Gaussian mixture models, gradient descent, kernel regression, the kernel trick, k-means clustering, linear regression, multivariate Gaussian distributions, PCA on MNIST data, probability density functions, probability mass functions, prediction strength, and the sigmoid function. The illustrations visualized the application of these machine learning algorithms and concepts.
machine-learningpythonmachine-learning-algorithms
aburkov/theLMbook
Jun 2024 - Feb 2026
This is the official repository for The Hundred-Page Language Models Book by Andriy Burkov
Contributions:1 release, 1 review, 1 PR in 1 year 7 months
language-model
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