About

Jean-Marc Soumet is a highly skilled Senior Machine Learning Engineer with over 15 years of relevant experience in the field. He possesses expertise in a wide range of technical skills, including Machine Learning, Data Engineering, SQL/NoSQL, DevOps, and Software Development. Jean-Marc is currently working at Roku as a Senior Machine Learning Engineer. Prior to this, he worked at Salesforce as a Principal Machine Learning Engineer and Lead Member of Technical Staff, Einstein. At Salesforce, he was responsible for building and improving NLP APIs using PyTorch, TensorFlow, and Java. He also developed micro-services for managing deep learning models, running inference and training, and maintained object detection APIs using TensorFlow and Python. Jean-Marc holds a Master of Business Administration degree in Analytics from Santa Clara University and a Master of Science degree in Networking and Telecommunications from EPITA: Ingénierie Informatique. He is proficient in various programming languages, including Scala, Java, Python, PHP, C++, NodeJS, and Javascript. He has also worked with several tech stacks such as ML, Tensorflow, AWS, SQL, Pytorch, NLP, Spark, Keras, MapReduce, Redis, Kubernetes, Docker, Jenkins, and Postgres. Jean-Marc is a team player and an excellent mentor who has onboarded and mentored several teammates, reviewed code contributions, and promoted best practices. He has also presented his work at Scala-By-The-Bay conference in November 2016. Overall, Jean-Marc Soumet is a highly skilled and experienced Machine Learning Engineer with a proven track record of building and improving complex technical systems.