Summary
Antonin Lemoine is an MLOps engineer with six years of experience building and deploying robust machine learning systems, specializing in computer vision and time-series forecasting. He has shipped production pipelines using ResNet/EfficientNet, YOLO, OCR and AutoEncoders for image denoising, and experimented with transformer- and LSTM-based architectures (NHIST, TFT, DLinear, NLinear) for forecasting. Beyond modeling, he designs data pipelines, annotation tools and Big Data stores, and has hands-on experience with Kubernetes clusters and GPU resource sharing to scale model training and serving. He treats explainability as a first-class concern—applying PFI for time series and Grad-CAM for vision—to earn stakeholder trust in opaque neural models. His background spans R&D in medical imaging, industrial vision for fiber infrastructure, and teaching ML fundamentals, giving him a practical mix of research rigor and operational delivery. Based in the Greater Rouen area, he combines software engineering roots with MLOps best practices to move prototypes into resilient, auditable production systems.
6 years of coding experience
Brevet de technicien supérieur (BTS), Service Informatique aux Organisations, 14.04, Brevet de technicien supérieur (BTS), Service Informatique aux Organisations, 14.04 at Campus La Chataigneraie
Licence, Computer Programming, Specific Applications, Licence, Computer Programming, Specific Applications at Cnam
Mastère professionnel, Manager en architecture et applications logicielles des SI, A, Mastère professionnel, Manager en architecture et applications logicielles des SI, A at CESI