Micha's team delivers millions of forecasts a day for the global operations of one of the largest ocean logistics companies in the world. They need reliable systems while also changing quickly. In this talk, Micha shares how they achieved this following simple software engineering practices.
In this episode
Lead Data Engineer, Maersk
Micha has a background in physics, in fact, he has a Ph.D. in Biophysics. He's always been interested in crunching data, be that using HPC clusters or his laptop. Micha loves building and improving systems that provide value through data.
Demetrios is one of the main organizers of the MLOps community and currently resides in a small town outside Frankfurt, Germany. He is an avid traveller who taught English as a second language to see the world and learn about new cultures. Demetrios fell into the Machine Learning Operations world, and since, has interviewed the leading names around MLOps, Data Science, and ML. Since diving into the nitty-gritty of Machine Learning Operations he felt a strong calling to explore the ethical issues surrounding ML. When he is not conducting interviews you can find him making stone stacking with his daughter in the woods or playing the ukulele by the campfire.
Ben was the machine learning lead for Splice Machine, leading the development of their MLOps platform and Feature Store. He is now a founding software engineer at Galileo (rungalileo.io) focused on building data discovery and data quality tooling for machine learning teams. Ben also works as an adjunct professor at Washington University in St. Louis teaching concepts in cloud computing and big data analytics.