Victor Fuentes is a Senior Data Scientist based in Berlin with nine years of experience applying machine learning and MLOps at scale, currently advancing data-driven products at Tesla after progressing from intern to senior roles. He holds a BSc in Computer Science from UPC/UPV and routinely sharpens his skills through Kaggle and DrivenData competitions, coursework, and reading research papers, bringing state-of-the-art techniques to production problems. Victor has a practical systems background from leading telemetry, GUI and middleware development for Hyperloop UPV—work that earned an innovation award at SpaceX’s Hyperloop Pod Competition—and an infrastructure internship at CERN. Comfortable bridging research and engineering, he combines a competitive, continuous-learning mindset with hands-on delivery of robust ML solutions. In his spare time he pursues endurance sports and Muay Thai, which he cites as discipline-building influences on his approach to tough modeling challenges.
Improving decision-making and engagement between patient, oncologist and physicist for cancer treatment with radiation therapy.
Contributions:40 commits, 25 pushes, 1 branch in 27 days
decision-makingpythontherapydecisionpatient
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