Roni Kobrosly Ph.D.'s Website

Anyone who has worked in tech in the data science / MLE / applied ML field knows that most ML projects will fail. Newcomers to the field have super high expectations about what they can do, and, sadly, this leads to a lot of them leaving the space altogether. ML project failure is an inevitable part of life in this field and it's happened to me many times at different stages of my career. In the last couple of years, I've begun to think about the building of ML projects as a sort of funnel process; ideas are cheap and many, but only a small amount of these ideas reach the end of the funnel and become productionized, solid, used, effective, and maintained ML applications.

One of the hottest ChatGPT takes I've heard from mostly non-technical, tech-enthusiast folks is that it, or one of it's near-term successors, will effectively put software engineers into the dustpan of history. The following is my attempt to collect my thoughts around this and present my case to a lay audience on why this will not be the case.

Fall is here and you really ought to buy some of those pumpkin pancake/waffle mixes at the store. I'm there for it. I've been thinking a lot recently about data-driven culture and who is responsible for building it and maintaining it in organizations.

I recently had the privilege of giving a talk and tutorial session at SciPy 2022 in Austin. Besides rediscovering how hot central Texas is in the summer (the sun is trying to kill you), I walked away with some useful insights from the audience...

I love Medium and Substack. They're so great that only a non-English word can truly describe them: fantastico. However, not all tech leadership, data, and engineering blogs will let you subscribe and receive email updates on new posts. And some of the best personal blogs out there only drop a new post a few times a year. You're then forced to periodically and manually check these websites for updates. I've got a list of 50+ of these non-subscribable blogs that I care about, and checking in on them sucks. So, I built a tool...