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AI executive, builder, advisor and investor, ex Amazon, Twitter, Salesforce, Sun Microsystems, ..
EXECUTIVE SUMMARY: • AI executive with 20+ years in technology and 13+ years leading AI/ML organizations at Amazon, Twitter, and Salesforce. • Proven track record of defining AI strategy and building high-performing applied science, data, and ML engineering teams delivering enterprise-scale impact across both consumer and enterprise domains, including supply chain, fashion-tech, marketing & sales, trust & safety, and enterprise SaaS. • Deep expertise in generative AI (LLMs, RAG, and agentic systems) with a focus on translating emerging technologies into production systems with measurable business outcomes and driving adoption of AI capabilities across product, operations, and business workflows. • Experienced in building and scaling reusable AI/ML platforms enabling enterprise-wide adoption across multiple domains, while establishing scalable AI platforms, governance frameworks, and responsible AI practices. CORE EXPERTISE: • AI Leadership & Strategy: AI roadmap ownership, org design, executive stakeholder alignment, platform strategy • AI & Machine Learning: Generative AI, LLMs, agentic systems, NLP, computer vision, recommender systems, forecasting, graph ML • Engineering & Data: Distributed systems, ML infrastructure, Spark/Scala, Python, PyTorch, TensorFlow, SQL/NoSQL • Governance & Scale: Responsible AI, model evaluation, production reliability, enterprise deployment
Aix-Marseille University
Master's degree + 1 year towards PhD, Computer Sciences
January 1, 1990 – January 1, 1994
Stealth Startup
Founder
April 1, 2026 – Present
Amazon
Sr Manager, Applied Science
March 1, 2021 – March 1, 2026
Seattle, Washington, United States · On-site
Sr Manager, Machine Learning
September 1, 2019 – March 1, 2021
San Francisco, California, United States · Hybrid
Salesforce
Director, Machine Learning and Data Science, Einstein.ai
June 1, 2016 – August 1, 2019
Palo Alto, CA
Radius Intelligence
Engineering Manager, Data Science and Engineering
July 1, 2014 – May 1, 2016
San Francisco Bay Area
Driven Inc. & Couchbase
Senior Architect
May 1, 2013 – June 1, 2014
San Francisco Bay Area
Oracle Corporation
Architect
February 1, 2010 – April 1, 2013
Santa Clara, CA
Sun microsystems
Principal Engineer
October 1, 1999 – February 1, 2010
Santa Clara County, California, United States
Bell Atlantic
Software Engineer
February 1, 1998 – October 1, 1999
Washington DC-Baltimore Area
Steria Mediterranee & Axime Ingenierie
Software Engineer
May 1, 1995 – February 1, 1998
France
Fine-tuning & RL for LLMs: Intro to Post-training
DeepLearning.AI
June 24, 2026 – Present
Agentic AI
DeepLearning.AI
June 24, 2026 – Present
Fundamentals of Reinforcement Learning
Coursera
June 24, 2026 – Present
Convolutional Neural Networks
Coursera Course Certificates
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Sequence Models
Coursera
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera Course Certificates
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera Course Certificates
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career trajectory shows a consistent focus on cutting-edge AI/ML applications across diverse industries (e-commerce, social media, CRM, business intelligence). Their experience in both established tech giants and a stealth startup indicates adaptability and an entrepreneurial spirit. The breadth of skills and project diversity, from supply chain optimization to fashion retail and trust & safety, suggests a versatile individual who can thrive in dynamic environments. The continuous pursuit of certifications in advanced AI topics further reinforces a proactive learning culture.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and management skills, having led multiple large-scale technical teams. Their experience in driving product development from conception to launch, coupled with a focus on business impact (e.g., increasing store engagement, preventing platform abuse), indicates a results-oriented and strategic mindset. The ability to collaborate with core AI teams and manage complex projects suggests strong operational fit for senior roles requiring cross-functional leadership.