We interviewed James Sutton an ML Engineer at Algorithmia about system design and common design patterns for ML systems. James has an incredible ability to think through problems and come up with out of the box solutions. We reference his paper on how he creatively overcame Challenges productionizing embedding engines.
In this episode
Machine Learning Engineer, MLOps Team Lead, Algorithmia
ML Engineer focused on helping enterprise bridge the gap between what they have now, and where they need to be to enable production scale ML deployments.
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.
David is one of the organizers of the MLOps Community. He is an engineer, teacher, and lifelong student. He loves to build solutions to tough problems and share his learnings with others. He works out of NYC and loves to hike and box for fun. He enjoys meeting new people so feel free to reach out to him!