Gabriel Margaria
Data Scientist
Zurich, Zurich, Switzerland
Summary
🤩
Rockstar🎓
Top SchoolGabriel Margaria is a data scientist based in Zurich with six years of experience applying machine learning and robotics expertise to real-world systems, from precision motor health monitoring to autonomous wildfire surveillance. Trained in robotics and microengineering at EPFL (with an exchange at DTU), he bridges algorithm development and production pipelines—designing CNNs for time-series anomaly detection, feature selection criteria, and end-to-end Streamlit visualizations. His hands-on research includes implementing deep reinforcement learning for multimodal robot path planning at Caltech and control methods for a 3U CubeSat, reflecting a strong control-and-perception blend. Comfortable across R&D, product engineering, and academia, he has shipped calibration and computer-vision solutions for industrial robotics and prototyped SMA-based growing robots. Colleagues would note his knack for turning complex physical measurements into actionable ML models and intuitive visual tools.
6 years of coding experience
2 years of employment as a software developer
Baccalauréat scientifique, Félicitations du jury, Baccalauréat scientifique, Félicitations du jury at Lycée MarliozMaster's degree, Robotics, Master's degree, Robotics at Ecole polytechnique fédérale de LausanneTechnical University of Denmark
Github Skills (27)
static-analysis10
sonarqube10
django10
analyzer10
java10
static-analyzer10
sonarcloud10
privacy-enhancing-technologies10
consensus9
minecraft9
static-code-analysis9
sonarlint9
bukkit9
security9
spigot9
Programming languages (4)
Github contributions (5)
dedis/hbt
Jun 2022 - Feb 2023
Contributions:13 reviews, 129 commits, 32 PRs in 8 months
CS-433/SynNet
Nov 2022 - Dec 2022
Contributions:25 commits, 1 PR, 15 pushes in 26 days
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