Some ways I used AI to help ease my transition back to work after a long maternity leave, along with some thoughts on how far AI has come in 2024.| sararobinson.dev
If you have a short attention span and want to know why I switched from a developer relations role into software engineering, the very short answer is: imposter syndrome. If I still have your attention in a world of constant distractions, I’ll give you all the details. It’s been nearly 3 years since I moved into a software engineering role, so I’ve got some good perspective on what’s involved and how it compares to developer relations (DevRel). This post assumes you know a bit about e...| Sara Robinson
In those first few months of motherhood, I could usually be found walking around in a bra that allowed me to extract my boobs at a moment’s notice. It would only be a matter of time until they needed to be hooked up to a machine again while I awkwardly walked around trying to do things with two bottles hanging from my chest. My breasts felt distant from my body, more like a device permanently attached to me. In this phase of life they were not fully my own; they existed solely to feed my ba...| Sara Robinson
When I hit publish on my last post I had no idea it would be 4+ years before I’d blog again. Oops! I suppose that’s how things go sometimes. I didn’t stop blogging intentionally, I got busy with life things: in that time I got married, had a baby, and changed job roles. In the last few months I’ve realized I miss writing so I’ve decided to bring the blog back. Restarting this blog required quite a saga involving debating whether I wanted to continue hosting my own personal blog or p...| Sara Robinson
Ever wanted to know what it's like to write a technical book? This post details my experience co-authoring an O'Reilly book with my colleagues Lak and Mike. Our book, Machine Learning Design Patterns, is available to order now and all royalties go to Girls Who Code.| sararobinson.dev
I made a cake that looks like a credit card for a machine learning demo. You'll have to read to learn more.| sararobinson.dev
Learn how to call your AutoML models — or really any model — from a container using Cloud Run. In this post you'll learn how to containerize your model prediction code, and use it to scalably serve your ML model.| sararobinson.dev
Progress, it turned out, was a constant battle. Two steps forward followed by one lingering thought that you didn’t deserve to take those steps in the first place. But maybe the progress and doubt didn’t have to be opposing forces. Maybe they could coexist. And maybe, they could even help each other.| sararobinson.dev
Like many people, I’ve been entertaining myself at home by baking a ton. I’ve gotten pretty good at following recipes, but I decided I wanted to take things one step further and understand the science behind what differentiates a cake from a bread or a cookie. I also like machine learning so I thought: what if I could combine it with baking??!| sararobinson.dev
“You are the coolest person I've ever met on a plane,” he messaged me immediately after I sat down. “There's an empty row behind me. Come say hi!”| sararobinson.dev
Anomaly detection can be a good candidate for machine learning, since it is often hard to write a series of rule-based statements to identify outliers in data. In this post I'll look at building a model for fraud detection on financial data. If you're thinking *groan, that sounds boring*, don't go away just yet! Fraud detection addresses some interesting challenges in ML.| sararobinson.dev