Learning

I have spent the last year working around AI security and governance, so I already understood the high level idea behind guardrails. Agents should have boundaries. Tools should have scopes. Read access and write access should mean different things. A system that can touch files, APIs, CRMs, Slack, browsers, or internal docs should probably have a stronger plan than “hope it behaves nicely.” Okay, that last sentence already sounds like I am about to sell you a whitepaper. ...

I have been using Omarchy for almost a year now. Almost from the day it came out, which is either a sign of curiosity or a sign that I enjoy experiments. Maybe both. Before Omarchy, I was using Omakub for a few months. Before that, I was using Arch as my OS for about two years, along with a Mac because work exists and sadly companies do not run on my Linux feelings. ...

I have become the annoying person who asks, “Can I run this locally?” This is mainly because after working around AI security and governance for a year, I have started noticing how easily data leaves the systems we understand and enters systems we barely think about. I admit that this is a slightly irritating change in my personality. A year ago, if I found a tool that helped me automate something, summarize something, enrich some data, or speed up a GTM workflow, my first question was usually: does this work? ...

I finished my data science and machine learning master’s a week ago. That sentence feels strange to write because its been a crazy 2 years. Classes, assignments, tests on the weekends and full on work and family life through the week. It feels great to have my weekends back after 2 years. I should probably have a cleaner feeling about it. Relief, pride, maybe a very professional LinkedIn post with a certificate photo and a stupid caption about growth. Maybe I will do just that after finishing this article. Anyways, I do feel proud, obviously. It was a lot of work. Doing a master’s while working full time is not exactly what I would call a chill hobby. ...

It’s been a year in data science and machine learning. Okay, I lied. Technically a full year and a few months since I officially splooted (wanted to show off my extensive vocabulary) into the world of data science and machine learning with my master’s program. In late 2023 I started learning data science through a Udemy course and in January of 2024 I gave up. Well, not exactly per say. ...