Alexandre Attia
CTO & Co-Founder at AZmed
Paris, Ile-de-France
Summary
🤩
Rockstar🎓
Top SchoolAlexandre Attia is a Paris-based CTO and co-founder with 10 years of experience building AI products that move from research to CE-certified clinical deployment, most notably leading AZmed to become the first French company with CE-certified radiology AI. He blends hands-on machine learning and computer vision expertise from ENS Paris-Saclay with entrepreneurial leadership, mentoring startups (Techstars) and teaching data science at Sciences Po. His early research and internships delivered practical gains in medical imaging and sports/computer vision, and his GitHub shows continued curiosity through Kaggle-style projects and predictive-model proofs of concept. Known for focusing AI on workflow impact—freeing clinicians to prioritize critical cases—he pairs product-driven engineering with academic rigor and a penchant for continuous learning.
10 years of coding experience
2 years of employment as a software developer
Master of Science in Machine Learning and Computer Vision (MVA) Computer Science, Master of Science in Machine Learning and Computer Vision (MVA) Computer Science at ENS Paris-SaclayComputer Integrated Manufacturing - Industrial Engineering, Computer Integrated Manufacturing - Industrial Engineering at Tel Aviv UniversityPC (Physics and Chemistry), PC (Physics and Chemistry) at Lycée Louis PasteurBS + MEng (MSc) Industrial Eng. & Computer Science, BS + MEng (MSc) Industrial Eng. & Computer Science at École nationale des ponts et chaussées
Github Skills (9)
machine-learning10
kaggle10
python10
data-science10
algorithm9
algorithms9
pandas8
scikit8
scikit-learn8
Programming languages (8)
Github contributions (5)
alexattia/Data-Science-Projects
May 2016 - Aug 2017
DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.
Role in this project:
Data Scientist
Data ScientistContributions:74 commits, 71 pushes, 1 branch in 1 year 3 months
Contributions summary:Alexandre appears to be contributing to data science projects, including Kaggle challenges and other projects related to machine learning. The first commit showcases a Python script for a "Palindrome Index Challenge," demonstrating basic algorithm development in Python. The second commit demonstrates the development of a machine learning model for the "Kaggle Bike Sharing" dataset. The third commit builds a predictive model for the Kobe Shots kaggle challenge.
kagglepythonobject-recognitionmachinelearningrecognition
alexattia/Deep-Learning
Mar 2016 - Jun 2016
Contributions:26 commits, 25 pushes, 1 branch in 2 months
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