Summary
Andres Cassab is a data-driven engineering leader with 10 years’ experience building and operationalizing forecasting, dynamic pricing and anomaly-detection systems for energy and trading. Currently Manager of MATS Core Engineering at TotalEnergies, he connects quantitative research, AI and IT to deliver robust, reusable pipelines and architectures that scale into production. Previously he led MLOps and ML engineering teams at Predictive Layer, cutting delivery time through CI/CD, real-time APIs and production-ready time-series solutions. Andres combines an academic foundation from EPFL in machine learning with hands-on systems experience from telecoms to cloud-native deployments, giving him a rare mix of ML research and infrastructure pragmatism. He’s particularly skilled at translating complex quantitative needs into standardized frameworks that accelerate cross-team delivery. Based in Lausanne, he brings both strategic vision and day-to-day engineering rigor to high-stakes trading and energy use cases.
10 years of coding experience
4 years of employment as a software developer
MSc in Communication Systems Machine Learning and Data Analytics, MSc in Communication Systems Machine Learning and Data Analytics at EPFL
Bachelor's degree Computer Systems Networking and Telecommunications, Bachelor's degree Computer Systems Networking and Telecommunications at Universidad Privada Boliviana
Spanish, English, French