Steven Bucaille is a Machine Learning Engineer with nine years of experience bridging research and production, currently focused on applied deep learning and scalable ML infrastructure. He has delivered high-impact computer vision solutions at Huawei—achieving 12x inference speedups and 99.9% accuracy for industrial quality control—and built an auto-configuring Ray cluster on AWS to scale research workloads. Comfortable across the JavaScript stack and front-end tooling from his KU Leuven work, he pairs strong engineering skills with data-centric modelling and end-to-end deployment experience. His background spans academic research internships and time-series/web tooling at CNRS, reflecting an ability to move ideas from PoC to operational systems. Based in Lille (with Canadian ties), he is completing his studies while already driving production ML projects and optimizing both model performance and data pipelines.
9 years of coding experience
4 years of employment as a software developer
Master of Engineering : Computer Science Computer Science, Master of Engineering : Computer Science Computer Science at KU Leuven
BTS - Services Informatiques aux Organisations Programmation / développeur informatique général, BTS - Services Informatiques aux Organisations Programmation / développeur informatique général at Lycée Gaston Berger
Licence Informatique, Licence Informatique at University of Lille 1 Sciences and Technology
Classe préparatoire aux Grandes Écoles - Adaptation Technicien Supérieur, Classe préparatoire aux Grandes Écoles - Adaptation Technicien Supérieur at Lycée César Baggio
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Contributions:359 pushes, 13 branches in 1 year 7 months
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Steven Bucaille - Machine Learning Engineer at Osedea