Bartosz Mikulski
AI & MLOps Engineer
I help teams build boring, reliable infrastructure for exciting AI problems.
The Machine Learning They Didn't Teach You
Why your models break, and how to look at your data until they don't.
If you can call .fit() but don't trust the result, this is the classical ML class you missed: taught through real failures, in scikit-learn.
Talks, podcasts, publications
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MLOps for the rest of us at Infoshare 2022 (Gdańsk, Poland)
Shared how my team built a lean MLOps pipeline that let us deploy new machine learning models to production without overengineering or big budgets. I covered real-world lessons from supply chain risk management, including handling word embedding failures, moving to Sagemaker, testing preprocessing, and managing canary releases.
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The Failures That Don't Crash: MLOps for AI Agents at Berlin Buzzwords 2026 (Berlin, Germany)
AI agents don't fail loudly. They quietly become useless. Here are MLOps patterns adapted for systems whose failure mode is looking right.
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DataTalks Club by Alexey Grigorev
Episode: Data Intensive AI (February 2025)
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97 Things Every Data Engineer Should Know by Tobias Macey
Contributor: The Six Words That Will Destroy Your Career
The older talks are on the experience page.