Alexey On Data

About this newsletter

I write about what I am actively building, testing, and maintaining.

This newsletter documents practical AI workflows and experiments that you can reuse in your own work. Topics include:

Subscribers share that these posts help them try new tools and start their own projects using similar approaches.

About Alexey

I’m Alexey Grigorev, a machine learning engineer, educator, and founder of DataTalks.Club.

I have 15+ years of experience in software engineering and 12+ years working with machine learning in production. My background includes building and operating large-scale systems at OLX Group and Simplaex.

I’m the creator of the Zoomcamp series, practical, code-first courses in machine learning, data engineering, MLOps, and LLMs, taken by more than 100,000 learners worldwide.

I’m also the creator of AI Engineering Buildcamp, a hands-on course focused on designing, building, and evaluating production-ready AI agent systems.

I’m the author of technical books, including Machine Learning Bookcamp. I’m also a Former Kaggle Master with top rankings in international competitions such as the NIPS’17 Criteo Challenge and WSDM Cup 2017.

Interests: AI engineering, agentic systems, production ML and MLOps, open-source education, and learning by building.

Connect with me on these platforms:

X/Twitter: https://twitter.com/al_grigor
LinkedIn: https://www.linkedin.com/in/agrigorev
GitHub: https://github.com/alexeygrigorev
Website: https://alexeygrigorev.com/

Collaborations

I occasionally collaborate with companies and communities working in AI, data engineering, and developer tools. This can include speaking at events, participating in educational projects, or highlighting tools and resources that may be useful to the community.

If you’d like to get in touch:

Referral program

If you enjoy Alexey On Data, it would mean a lot to me if you invited friends to subscribe and read with us. If you refer friends, you will receive benefits that give you special access to Alexey On Data.

Refer 3 friends to get access to the Tutorial Library, a curated collection of study resources focused on learning by doing and solving real engineering problems.
Refer 10 friends to get an rarly access to an Exclusive Mini-Course on building an action-oriented AI agent.
Refer 25 friends and join a private 30-minute Zoom conversation with me to discuss career decisions, learning paths, technical challenges, or project feedback, with no fixed agenda.

You can read more about the referral program in this post.

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Practical writing on building, testing, and operating AI systems, workflows, and automation, based on my projects and experiments. Subscribe to get ideas you can reuse in your own work.