Raphaël Attias is a Software Engineer with eight years of experience, currently working on Jobs & Workflows at Databricks in New York. He blends production engineering with machine learning research, having built REST APIs and deployed ML services at Harvard for pathology slide analysis and implemented decentralized federated learning prototypes at EPFL. His background spans end-to-end ML systems—from GAN-based data augmentation and vision transformers to edge-deployable CNNs for satellite imagery—paired with strong Python and PyTorch expertise. Raphaël also teaches and mentors, having supported a 500+ student master’s course at EPFL, and maintains a personal site showcasing his projects and code. Notably, he moves smoothly between research and shipping production features, making him effective at turning advanced models into usable, deployed tools.
8 years of coding experience
3 years of employment as a software developer
Master's Thesis Biomedical Informatics, Master's Thesis Biomedical Informatics at Harvard University
Master's degree Data Science, Master's degree Data Science at EPFL
Contributions:10 pushes, 1 branch in 2 years 2 months
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Raphaël Attias - Software Engineer L4 at Databricks