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Curious machine learning engineer
I’m a seasoned lead machine learning engineer with experience in startup, medium-sized business and big corporation. I enable teams to deliver reliable code and models to production. I strive for core projects with strong business impact. I foster individual growth in a rational yet empathic environment. I like to summarize my skills according two dimensions : interpersonal and engineering. Engineering skills. My 10+ years of hands-on experience in defining / training / shipping ML data pipelines to production in various setups taught me adaptability and efficiency. During my latest work as task force lead for the data / ML transformation of Infomaniak, I've geared up on edge data engineering and ML-OPS tools including : Kubernetes (and Kubeflow), Prometheus, Elasticsearch, Grafana. Flux CD, GitLab CI. I furthermore master python and have strong skills in Scala. I’m curious, and I’d love learning more depending on the team’s needs. Interpersonal skills. I'm a simple, curious, friendly person, and my past direct reports confirm that my communication style is simple, honest and consistently rational. My former.managers could confirm that I listen with curiosity and deliver solutions above expectations. I’m proud to be able to say that people I managed have growth their skill sets and autonomy levels substantially while I was leading their squads. I know how to express my expectations in a clear, appeased way. Not only that, but I also keep a close watch on my peer's to be sure they have room to express theirs expectations.
Université Grenoble Alpes
doctor philosophiæ (PhD), Artificial Intelligence
January 1, 2011 – January 1, 2014
Université Grenoble Alpes
Master of Science (MSc) Computer science - web and machine learning, Mathématiques et informatique
January 1, 2005 – January 1, 2011
Apple
Machine Learning Engineer
September 1, 2025 – Present
Zurich, Switzerland · Hybrid
Grid Dynamics
Staff machine learning engineer
April 1, 2024 – September 1, 2025
Geneva, Switzerland · Remote
Career Break
Personal goal pursuit
June 1, 2023 – April 1, 2024
Geneva, Switzerland
Infomaniak Network SA
Lead Machine Learning Engineer
March 1, 2021 – June 1, 2023
Geneva, Switzerland · On-site
Expedia Group
Senior Machine Learning Engineer
January 1, 2020 – March 1, 2021
Expedia Group
Machine Learning Engineer II
January 1, 2018 – January 1, 2020
Karos
Machine Learning Engineer
September 1, 2014 – December 1, 2017
Greater Paris Metropolitan Region
Purch
Ph.D. candidate
September 1, 2011 – September 1, 2014
Grenoble
LIG - Grenoble Informatics Laboratory
Master thesis Internship
February 1, 2011 – July 1, 2011
Greater Grenoble Metropolitan Area
LIG - Grenoble Informatics Laboratory
Introduction to research in computer science field
January 1, 2010 – June 1, 2010
Laboratoire VERIMAG · On-site
Cultural Fit Analysis
The candidate has worked in various company sizes and types (start-up, large enterprise, network provider), indicating adaptability. The career break suggests a focus on personal growth and alignment of professional goals. The progression from individual contributor to lead and staff roles demonstrates ambition and leadership potential. The academic background and research experience suggest a strong inclination towards problem-solving and innovation, which aligns well with a senior ML Engineer role. However, the lack of detailed project descriptions makes it difficult to fully assess cultural alignment with specific team dynamics or company values.
Soft Skills & Operational Fit
The candidate's experience descriptions indicate leadership, mentoring, and stakeholder management skills. The career break description suggests self-reflection and goal-setting. However, without psychometric test results or interview data, a comprehensive assessment of soft skills and operational fit is limited.