
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
CTO | AI-Augmented product & engineering | Impact
+15 ans à construire des organisations tech qui livrent - maintenant avec l'IA. J'ai commencé développeur, les mains dans le code. Aujourd'hui, je pilote des visions techniques à l'échelle - des startups early-stage jusqu'aux scale-ups qui industrialisent. CTO successivement dans la fintech (Fygr), l'omnicanal retail (Wishibam, bizz4) et la smart city (Cocoparks), j'ai construit et fait grandir des équipes pluridisciplinaires de 2 à 30+ ingénieurs, accompagné plusieurs levées de fonds, et transformé des prototypes en plateformes robustes - microservices, event-driven, cloud-native. Aujourd'hui chez PALO IT, je travaille sur ce qui me passionne profondément : réinventer la façon dont les équipes produit & engineering opèrent grâce à l'IA générative. Avec la méthodologie Gen-e2 que je déploie auprès de nos clients, l'objectif est simple : accélérer structurellement les cycles SDLC & PDLC - sans sacrifier la qualité, l'humain, ni la maîtrise technique.
Université de Pau et des Pays de l'Adour
Master en Informatique, Ingénierie informatique
January 1, 2009 – January 1, 2011
Palo IT
Directeur de la technologie
October 1, 2025 – Present
Ville de Paris, Île-de-France, France · Hybrid
Cocoparks
Chief Technology Officer
October 1, 2023 – May 1, 2025
Ville de Paris, Île-de-France, France · Hybrid
Fygr
Chief Technology Officer
September 1, 2020 – September 1, 2023
Ville de Paris, Île-de-France, France · Hybrid
Bizz4
Head Of Technology
April 1, 2019 – September 1, 2020
Ville de Paris, Île-de-France, France
Wishibam
Chief Technology Officer
July 1, 2014 – April 1, 2019
Ville de Paris, Île-de-France, France
AWS Cloud Architect - Professional
Amazon Web Services (AWS)
June 23, 2026 – Present
AWS Cloud Architecht - Associate
Amazon Web Services (AWS)
June 23, 2026 – Present
Professional Scrum Master I
Scrum.org
June 23, 2026 – Present
Cultural Fit Analysis
The candidate's career trajectory shows a strong inclination towards leadership and innovation, particularly in integrating AI into software development lifecycles. Their experience spans various industries (fintech, retail, mobility) and company stages (early-stage to growth), demonstrating adaptability and a broad perspective. The focus on 'making technology a positive force' and 'green tech for urban mobility' suggests an alignment with purpose-driven organizations. However, the direct hands-on ML engineering experience, specifically in model development, deployment, and MLOps, is not explicitly detailed in the resume, which might require further validation for a pure ML Engineer role. The certifications in AWS Cloud Architecture and Scrum Master indicate a commitment to best practices and cloud-native development, which are beneficial for cultural fit in modern tech environments.
Soft Skills & Operational Fit
The candidate's extensive experience in leadership roles (CTO, Head of Technology) suggests strong soft skills in team management, strategic communication, and stakeholder alignment. Their descriptions highlight a focus on methodology deployment (Gen-e2), architectural refactoring, and building scalable platforms, indicating a structured and operational approach to technology delivery. The emphasis on 'rethinking how organizations build software' and 'leveraging generative AI at every stage' points to an innovative and forward-thinking mindset, which aligns well with a senior ML Engineer role that requires driving innovation and best practices.