Russell Brooks is Principal Machine Learning Engineer at Realtor.com and has worked extensively as a software engineer, data scientist, platform engineer, and machine learning manager.
In this fireside chat, Russell joins Hugo Bowne-Anderson, Outerbounds’ Head of Developer Relations, to discuss what building an enterprise ML platform from scratch looks like in practice, including the journeys he experienced at both OpCity and Realtor.com, where he took both organizations from a bus factor of 1 to reproducible and automated ML-powered software.
After attending, you’ll know about:
- The ins and outs of what building an enterprise ML platform from scratch looks like in practice;
- What questions are key to answer when building an enterprise ML platform from scratch;
- How to demonstrate the impact of the data and machine learning functions in organizations when doing so;
- The most impactful ways of collaborating for SWEs, data scientists, platform engineers, and ML engineers,