Summary
Christophe Foyer is a Data & Machine Learning Consultant with a decade of hands-on experience at the intersection of robotics, computer vision, and mechatronics. Trained in mechanical engineering and scientific computing (Washington University in St. Louis; UCL), he has delivered production-grade ML and simulation work—from an 82% improvement in real-time thermal estimation at Tata Steel to architecting on-robot ML interfaces and unified model pipelines at Tortuga AgTech. Comfortable across hardware and software stacks, he blends ROS/Python development, Docker/AWS tooling, and resource-constrained deployment experience to turn research prototypes into reliable field systems. A dual US–French citizen based in the UK, he actively seeks collaborative, software-focused robotics and modelling projects and brings a pragmatic mix of field support, MLOps, and simulation expertise that isn’t obvious from titles alone.
9 years of coding experience
5 years of employment as a software developer
Study abroad - Iceland - Energy Engineering and Economics, Study abroad - Iceland - Energy Engineering and Economics at School for International Training
Summer Courses - Energy & Mechatronics, Summer Courses - Energy & Mechatronics at RWTH Aachen University
Bachelor of Science Mechanical Engineering, Bachelor of Science Mechanical Engineering at Washington University in St. Louis
University College London
French, English, German, Icelandic