Thomas Ryckeboer is an Ingénieur de Recherche based in Grenoble with eight years of experience building and industrializing computer vision and ML systems for research and industry. At Inria he manages a 30-node GPU cluster, leads development of the Cyanure optimization library (including CI across three OSes and a PyTorch GPU backend), and conducts research on diffusion and inverse problems. He has a strong applied ML background from multiple data-science missions—OCR, anomaly detection on video (Unet/ResNet), ICAO-compliant face processing and Jetson optimizations—combined with hands-on skills in deployment, Dockerization and hardware selection. Comfortable moving prototypes to production, he pairs academic rigor from Grenoble INP Esisar with practical engineering like porting Python pipelines to mobile and Java. A less obvious strength is his blend of system administration and algorithm development, enabling him to both tune low-level BLAS/solver performance and shepherd end-to-end ML pipelines.
8 years of coding experience
2 years of employment as a software developer
Physic and Technology, Physic and Technology at CPGE - Lycée Gustave Eiffel Armentières
Diplôme d'ingénieur, Computer Sciences and Network, Diplôme d'ingénieur, Computer Sciences and Network at Grenoble INP Esisar
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
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