Resume

Resume

🏆 Full-Stack AI Product Leader

Generative AI – AI Development – Multidisciplinary Design

Dynamic leader with 20 years of experience in machine learning and AI. Transitioned from academia to industry as an ML applied scientist, now shaping developer-facing AI stacks. Proven record in managing multidisciplinary teams and translating complex requirements into scalable AI solutions. Adept at navigating shifting business strategies and customer needs.

🔗 LinkedIn
🔗 GitHub

🛠️ Areas of Expertise & Technical Skills

Product Management

  • Research to production process
  • ML lifecycle and MLOps
  • Requirements elicitation

AI / ML

  • Prompt engineering and RAG
  • Agentic systems design
  • Build for prod

Software Engineering

  • Python, SQL
  • GitHub, Azure DevOps
  • Azure AI, Databricks

💼 Professional Experience

Microsoft – Bellevue, USA

Principal Product Manager (Jan 2024 – Present)

  • Delivered key user scenarios for Azure AI Studio GA at Microsoft Build 2024
  • Designed and launched GitHub Models marketplace free-tier
  • Led multi-agent customer support UX in Azure AI Foundry

Principal Data Scientist, Manager (Sept 2020 – Dec 2023)

  • Supported Azure OpenAI fine-tuning adoption
  • Migrated ML pipelines to AzureML, promoting MLOps
  • Led compliant/federated ML initiatives
  • Managed and coached a team of 7–9 data scientists

Senior Data Scientist (Nov 2017 – Sept 2020)

  • Advanced A/B testing practices
  • Built real-time analysis component for fast fail detection (3000+/mo)

Galvanize – Seattle, USA

Instructor, Senior Data Scientist (Sept 2016 – Nov 2017)

  • Taught Data Science Immersive program (12-weeks)
  • Led curriculum design for IBM Watson course

Arts et Métiers ParisTech – Paris, France

Associate Professor, Computer Science (2005 – 2016)

  • Developed ML systems in multidisciplinary contexts
  • Supervised 8 PhDs plus annually 5+ Master students

Institut Carnot ARTS – Paris, France

Industrial Consultant (2005 – 2015)

  • Defined research problems and project scopes with industrial partners
  • Delivered 1–2 applied research projects per year (€10–40K/project)

📁 Recent Projects

For an expanded list, see Projects.

GitHub Models Free-Tier – Product Manager (2024)

  • Collaborate with GitHub stakeholders to define and evolve the user experience (UX) design.
  • Lead the creation and implementation of the model catalog UX, ensuring seamless direct-to-code and high-quality content for developers
  • Continuously iterate and validate designs in preparation for the product launch on August 2, 2024.

Federated Learning on AML – Lead Architect (2022–2023)
Budget: undisclosed | Team Size: 3-5 data scientists, 1 SDK engineer | Context: Microsoft, US

  • Implement a ML strategy for respecting data trust boundaries in a federated consortium
  • Develop a fully functional accelerator showing FL capabilities [aka.ms/FL]
  • Engage end-to-end with external customers from requirements to working MVP
  • Tools: Azure Machine Learning, Bicep, Azure

Compliant AML – Data Science Lead (2020–2021)
Budget: undisclosed | Team Size: 3-5 data scientists, 2 internal large organizations | Context: Microsoft, US

  • Formalize data science workflow of end users of internal production ML tools
  • Co-design a code-based experience to write reproducible and configurable ML pipelines
  • Drive the testing of new compliant AzureML capabilities with the end users
  • Tools: AzureML, MLOps

🎓 Education & Affiliations

Education:

Affiliations: