Sarah Glasmacher
Read about what I'm learning as an ML engineer, what I observe in my field, useful links and resources I found, incl. courses and books and get updates on new content and tutorials I'm releasing
In some engineering fields push to production is normal ... and other harsh truths ML engineers need to overcome
In some engineering fields push to production is normal ... and other harsh truths ML engineers need to overcome 🧪 SARAH GLASMACHER APR 15 aka Galaxy Inferno Codes Last Friday, I had the opportunity to present our updated MLOps strategy to an expert team in the energy sector, which was one of the first few times I presented to a team who is familiar with data science but does not work with a modern software development stack. 👀 The software engineering perspective on deployments Why is that...
We almost deployed a model trained on missing data 🫣
We almost deployed a model trained on missing data 🫣 SARAH GLASMACHER MAR 17 aka Galaxy Inferno Codes Last week, my team and I were deep into a data audit, checking for import mistakes and ensure data completeness. The forecasting model has already been trained - so of course the data should be very clean and complete, right? After all, someone has already worked intensively with it... Spoiler alert: our data wasn’t nearly as complete as we thought. 😅 The expectation: We simply deploy the...
I got side-tracked in my side-project, send help. A January Local-RAG project update 🫣
I got side-tracked in my side-project, send help. A January Local-RAG project update 🫣 SARAH GLASMACHER JAN 21 aka Galaxy Inferno Codes yeah... so... I'm not sure if this was supposed to happen, but it sure did. So let's talk about it and what I'm going to do about it. Earlier this month I decided to do a monthly coding project to get myself to build more. Spend less time reading and procrastinating, spend more time coding. The first project? A local RAG "from scratch" project (read more...
Kicking Off 2025 with Cautious Goals and a Local RAG Project 🧠
Kicking Off 2025 with Cautious Goals and a Local RAG Project 🧠 SARAH GLASMACHER JAN 09 aka Galaxy Inferno Codes Happy new year everyone! 🎆 (How long into January are we still allowed to say that?) New Year’s resolutions and I have a complicated relationship. On one hand, I love setting new goals. On the other hand, I have disappointed myself too many times by not reaching them - and it gets even more embarrassing to share those failures online. So if you also have a hard time with all these...
If you treat AI as a tech-only topic, it will stay a useless island in your company 🏝
If you treat AI as a tech-only topic, it will stay a useless island in your company SARAH GLASMACHER NOV 25 aka Galaxy Inferno Codes Hey there! Perhaps you have already heard about the data maturity of a company before. The term describes a measurement of how "data-driven" a company is already operating, from barely collecting any data in a structured way to making data analysis the foundation for basically every business decision. Lately my mind has been busy (along with still studying for...
My MLOps Learning Journey, Coding Tips & a Small Gaming Distraction 🎮
My MLOps Learning Journey, Coding Tips & a Small Gaming Distraction 🎮 SARAH GLASMACHER OCT 31 Hey there! it's been a while since I last updated you on my machine learning journey! Actually since my last issue I have changed jobs from data science to machine learning engineering - and while these are very similar, the new job brings with it lots of challenges related to MLOps and putting ML actually into production. So I'm back to report on my continuous, real-world learning we all need to...
Read about what I'm learning as an ML engineer, what I observe in my field, useful links and resources I found, incl. courses and books and get updates on new content and tutorials I'm releasing