About Alexis
Key Skills
- Machine Learning:Design, training, fine-tuning, and deployment of neural networks (CNN, LSTM, GAN, ...).
- Image Processing:Algorithm prototyping, creation of processing pipelines, and integration into embedded or backend systems.
- Algorithms & Mathematics:Geometric modeling, optimization, and complex problem-solving.
- Research & Prototyping:Ability to formalize problems, design innovative solutions, and validate them through experimentation.
Why work with me?
- Rigorous and Creative Approach:Solving complex problems and proposing effective solutions.
- Adaptability:Comfortable in both exploration (research, prototyping) and industrialization (integration, optimization) phases.
- Collaboration:Team spirit and willingness to share knowledge to achieve concrete results.
French
Native or bilingual
English
Fluent
Experience
- RadienceR&D EngineerMarch 2026 - March 2026
Creation of a C++ raytracing software with CUDA 13 and Optix 9
Porting a particle simulation algorithm from CUDA 5 to CUDA 13. - Centre Ingénierie Aquatique et EcologiqueR&D Engineer - Computer visionENVIRONMENTALJanuary 2026 - January 2026
Creation of bird and bat recognition and tracking software:
- Classification of birds and bats in daytime and nighttime photos.
- Bird tracking in videos.
- Alex DATALABR&D Engineer in Computer vision and Machine learningTECHJuly 2025 - Today (11 months)Marseille, France
- Vibe coding of an application using GPS data for tracking.
- Fine-tuning, distillation, and deployment of LLMs for a translation application.
Recommendations
Be the first to recommend Alexis
Help this freelancer shine by sharing your experience working together.
These freelancer profiles also match your criteria
Agatha Frydrych
Backend Java Software Engineer
4.7
(3)
2
Baptiste Duhen
Fullstack developer
4.6
(4)
5
Amed Hamou
Senior Lead Developer
4
(2)
7
Audrey Champion
Web developer
4.3
(3)
4
Education
- Parisian Master of Research in Computer ScienceParis 7 Diderot2016Master en partenariat avec l'Ecole Polytechnique et les ENS (ULM, Cachan, Lyon). Le MPRI couvre des domaines clés comme l’algorithmique, la calculabilité et la complexité, la théorie des automates, la logique, la démonstration interactive et automatique, ainsi que la sémantique des langages de programmation. Ces enseignements visent à donner une base solide pour la recherche en informatique fondamentale