You don’t need to become a machine learning engineer. But you do need to know how the engine works. You need to understand the trade-offs, ask sharper questions, and see past the jargon to the user problem you’re trying to solve.
This is my journey, shared in public. I learn a new concept, run a real project, and document everything, from the first line of code to the final “aha” moment. I write for product people, translating the technical into the practical so we can build better, smarter, and with more confidence.
If you’re ready to demystify the black box and become a more effective AI-native leader, then you’re in the right place.
