Giulia B is a Senior Machine Learning Engineer based in Paris with 10 years’ experience building and productionizing end-to-end ML systems, currently contributing to Adevinta’s in-house SaaS for fraud detection and content moderation. She designs scalable training and inference pipelines in cloud-native environments (Kubeflow, MLflow, AWS, Kubernetes), deploys hybrid solutions combining pretrained models, classic ML and heuristics, and maintains model quality in high-volume production. A pragmatic data scientist by trade, she previously applied statistical and ML methods to biomarker discovery and personalized medicine, giving her strong grounding in both research and industrial use cases. She actively shares knowledge—writing articles, speaking at conferences and helping organize DataXDay—and also mentors junior engineers and bridges technical work with stakeholder needs. Outside tech she trains in breathwork and yoga and recently completed a 200-hour Vinyasa certification, reflecting a practical focus on well-being that informs her leadership and teaching style.
10 years of coding experience
200 hours Vinyasa, 200 hours Vinyasa at Yoga Alliance
Georgia Tech
Master's degree, Master's degree at Università degli Studi di Padova
Diplôme Universitaire d'Etudes Françaises B2, Diplôme Universitaire d'Etudes Françaises B2 at Université Paris - Val-de-Marne (Paris XII)
Contributions:17 commits, 24 pushes, 2 branches in 2 years 4 months
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Giulia B - Senior Machine Learning Engineer at Adevinta