I recently switched what I spend the majority of my professional life doing: history -> software engineering. I'm currently working as an ML Engineer @zenml_io and really enjoying this new world of #MLOps, filled as it is with challenges and opportunities.

I wanted to get some context for the wider work of a data scientist to help me appreciate the problem we are trying to address @zenml_io, so looked around for a juicy machine learning problem to work on as a longer project.

I was also encouraged by @jeremyphoward's advice to "build one project and make it great" (https://t.co/Doo88EUhkN). This approach seems like it has really paid off for those who've studied the @fastdotai course and I wanted to really go deep on something myself.

Following some previous success working with @adyantalamadhya and another mentor via @SharpestMindsAI on a previous project, I settled on computer vision and was lucky to find @ai_fast_track to mentor me through the work. (We meet a couple of times per week).

In the last 6 weeks, I've made what feels like good progress on the problem. This image offers an overview of the pieces I've been working on, to the point where the 'solution' to my original problem feels on the verge of being practically within reach.