Ingénieur Machine Learning @Kinetix | 3D & Human Motion Intelligence Research Lab
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
https://cyprienruffino.github.io At Kinetix, we combine deep AI expertise with advanced 3D animation technologies to shape the future of character motion. Leveraging extensive proprietary datasets and advanced synthetic data pipelines, we drive cutting-edge AI research to push the boundaries of how motion is created, understood, and applied across digital and physical worlds. https://kinetix.tech
Norwegian University of Science and Technology (NTNU)
Nordic Probabilistic AI Summer School (ProbAI2019), Intelligence artificielle
January 1, 2019 – January 1, 2019
INSA Rouen Normandie
Doctorat en Informatique, Intelligence artificielle
October 1, 2017 – April 1, 2021
Université d'Orléans
Master en informatique, Informatique
January 1, 2015 – January 1, 2017
Université d'Orléans
Licence d'informatique, Informatique
January 1, 2012 – January 1, 2015
Kinetix
Ingénieur en apprentissage machine
May 1, 2022 – Present
Ville de Paris, Île-de-France, France
LITIS - Laboratoire d'Informatique, du Traitement de l'Information et des Systèmes
Ingénieur en recherche et développement logiciels
June 1, 2021 – April 1, 2022
Rouen, Normandie, France
INSA Rouen Normandie
Encadrant de stage
June 1, 2019 – September 1, 2019
INSA Rouen Normandie
Enseignant en École d'Ingénieur
September 1, 2018 – June 1, 2020
INSA Rouen Normandie
Doctorant en Deep Learning
October 1, 2017 – April 1, 2021
LITIS - Laboratoire d'Informatique, du Traitement de l'Information et des Systèmes
Chercheur stagiaire
April 1, 2017 – October 1, 2017
Rouen, Normandie, France
Université d'Orléans
Stagiaire Assistant de recherche
April 1, 2015 – June 1, 2015
Laboratoire d'Informatique Fondamentale d'Orléans
Cultural Fit Analysis
The candidate's background is heavily research-oriented, with a PhD and several research roles. While they have transitioned into ML Engineering and MLOps, the project diversity outside of core ML/AI is limited. Their experience is highly specialized in AI/ML, which is a strong fit for an ML Engineer role, but might indicate less breadth in general software engineering practices or diverse project types. The focus on deep learning for 3D animation and autonomous driving systems shows a strong alignment with cutting-edge AI applications.
Soft Skills & Operational Fit
The candidate's experience as an 'Encadrant de stage' and 'Enseignant en École d'Ingénieur' suggests strong mentorship and communication skills, which are beneficial for team collaboration and knowledge sharing. Their work on refactoring codebases and designing MLOps pipelines indicates a structured and process-oriented approach to development. The R&D focus implies a proactive and problem-solving mindset.