Daniel Blasko
Machine Learning Engineer at Snap Inc.
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolDaniel Blasko is a Machine Learning Engineer based in Paris with eight years of experience building practical, human-centered AI and software solutions across industry and research. Trained in computer science (INSA Lyon) and data science (TU Wien), he has applied multimodal and interpretable modeling to medical imaging during a thesis at Oxford and now works on AR hardware and experiences at Snap for Spectacles. His background spans production ML at Canva and Cisco’s IoT security analytics, plus full-stack app development with Flutter and accessibility-focused projects like Natbraille, showing a blend of product-minded engineering and research rigor. He favors responsible, interpretable systems that aid human decision-making and has hands-on experience turning exploratory analyses into deployed features. Colleagues value his ability to bridge UX, data engineering, and model interpretability—an uncommon mix that accelerates cross-disciplinary collaboration.
8 years of coding experience
2 years of employment as a software developer
Vienna University of TechnologyHigh School Diploma STEM, High School Diploma STEM at Le Gymnase Lucie Berger - Jean SturmEngineer's degree (MSc) Computer Science and Software Engineering, Engineer's degree (MSc) Computer Science and Software Engineering at INSA Lyon - Institut National des Sciences Appliquées de LyonBachelor of Applied Science - BASc Computer Science, Bachelor of Applied Science - BASc Computer Science at IUT Lyon 1
German, English, Slovak, French
Github Skills (9)
radiology8
natural-language-generation5
medical-imaging5
deep-learning4
virus4
object-detection4
face3
maquette3
pid2
Programming languages (4)
Github contributions (5)
dblasko/dblasko
Aug 2020 - Jun 2024
Contributions:26 pushes, 1 branch in 3 years 11 months
dblasko/PTUT_IUT
May 2019 - Jan 2020
Contributions:51 commits, 56 pushes, 5 branches in 7 months
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