In Neylson's experience with Machine Learning projects, his team and encountered a series of challenges regarding agile processes to build and deploy ML models in a professional teamwork environment. In the path, they developed some of their own solutions to these challenges that were packaged in a library, an ML project structure framework called Hermione. In this episode, We talked about these challenges, what they did to overcome them and how did Hermione help on the way. Neylson also did a demo on how to build an ML project with Hermione.
In this episode
MLOps Tech Lead, A3Data
Neylson Crepalde is partner and MLOps Tech Lead at A3Data. He holds a PhD in Economic Sociology, a masters in Sociology of Culture, an MBA in Cultural Management and a bachelor degree in Music/Conducting. He is professor of Machine Learning and Head of Data Science Department at Izabela Hendrix Methodist Technological University. His main research interests are Machine Learning processes, Politics and Deliberation, Economic Sociology and Sociology of Education. In his PhD he has worked with Multilevel Social Network Analysis and Exponential Random Graph Models to understand the social construction of quality in an orchestras’ market.
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.