Emmanuel-Lin Toulemonde
Emmanuel-Lin Toulemonde is looking for two things: learning and sharing.
He has been working in Data Science since 2014 and in software development since 2017. He is currently MLOps manager at OCTO Technology and trainer at OCTO Academy.
He carries out and helps to carry out projects involving data or Machine Learning. Looking for better ways of doing things, he learns from other disciplines. He strives to give back to the community what he has learned in the form of an article, a book and here a conference.
His subjects of interest are: data science, MLEng, MLOps, monitoring data science systems, interpretability of data science systems, software development, emergent architecture, agility, etc.
https://github.com/ELToulemonde/dataPreparation
https://github.com/madmaze/pytesseract
Session
Machine learning models are a new artifact to build, version and deploy, explore there impacts on your architecture.