On Structuring an ML Platform 1 Pizza Team
Breno and Matheus were part of an organizational change at Neoway in recent years. With the creation of cross-functional and platform teams in order to improve the value stream generated by these. They share their experience in creating a machine learning platform team. The challenges they faced along the way, how they approached using product thinking and the results achieved so far.
Take-aways
In this episode
Matheus Frata
Machine Learning Engineer, Neoway
Matheus is an Electronics Engineer that got into Data Science by accident! During his graduation, Matheus joined Neoway as a Data Scientist, but during that time he saw a lot of problems that were related to engineers! This was Matheus' beginning with MLOPS. Today, Matheus works as a Machine Learning Engineer helping their Data Scientists to FLY!!!
Breno Costa
Machine Learning Engineer, Neoway
Matheus is an Electronics Engineer that got into Data Science by accident! During his graduation, Matheus joined Neoway as a Data Scientist, but during that time he saw a lot of problems that were related to engineers! This was Matheus' beginning with MLOPS. Today, Matheus works as a Machine Learning Engineer helping their Data Scientists to FLY!!!
Demetrios Brinkmann
Host
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.
Vishnu Rachakonda
Host
Vishnu Rachakonda is the operations lead for the MLOps Community and co-hosts the MLOps Coffee Sessions podcast. He is a machine learning engineer at Tesseract Health, a 4Catalyzer company focused on retinal imaging. In this role, he builds machine learning models for clinical workflow augmentation and diagnostics in on-device and cloud use cases. Since studying bioengineering at Penn, Vishnu has been actively working in the fields of computational biomedicine and MLOps. In his spare time, Vishnu enjoys suspending all logic to watch Indian action movies, playing chess, and writing.