AI Engineering

Why I’m Picking Up the Math Now I come from product & growth marketing and I’m doing my masters in Data Science and Machine Learning. Most of my work has been about making technical products understandable. Shaping go-to-market plans, writing positioning for AI features, and working across teams to make sure what we build actually makes sense to the people we’re building it for. I’m also on a path to becoming a full-stack machine learning engineer. That means going beyond talking about models. I want to build them. Understand them. Debug them. Know when they’re lying. ...

When Copy‑Paste Stops Working In marketing, we live and die by templates. Landing page templates. Ad copy frameworks. Campaign recipes. Machine learning wouldn’t be that different, right? Just plug in your dataset, borrow someone’s notebook from Kaggle, tweak a few parameters, and be done with it. That’s how a lot of people approach it. And to be fair, it kind of works, until it doesn’t. You get a model that runs, a prediction that looks reasonable, a chart that impresses in a meeting. But under the surface, there’s often a gap. You don’t really know what’s going on. ...