Alaaeddine Hammoudi

About

Maths first, then machines.

I started with differential equations and climate models, and moved into data science when I saw that the same rigour could change how real organisations decide. Over the last decade I went from building models to building the platforms and the teams that run them.

Today I lead the architecture of an AI Factory in a heavily regulated sector. My focus is GenAI that is governed, sovereign and measurable, and that gives domain experts a real voice in how it behaves.

Download CV LinkedIn
Portrait of Alaaeddine Hammoudi
Location
Grasse, France
Languages
French, Arabic, English (C1)
Certifications
Azure Data Engineer Associate, SAFe 6 Practitioner
Email
alaa.hammoudi@gmail.com

01Experience

  1. 2024 – now

    Team Lead & Architect, AI Factory

    Large French insurance and social protection group

    • Architected and deployed a hybrid AI Factory covering ingestion, model lifecycle and observability, compliant with DORA and ISO security standards.
    • More than 10 GenAI assistants in production across actuarial, marketing, IT and sales.
    • Built a multidisciplinary international team of 9+ AI engineers, data engineers and architects.
    • Ran a demo-to-budget model with business units: scope, prototype, prove value, then fund.
  2. 2020 – 2024

    Project Manager and Tech Lead, Analytics & AI

    Same group

    • Led the multi-year transformation of the data and analytics platform, significantly shortening pipeline development time.
    • Evaluated 15+ AI use cases and put 5 in production, including fraud detection and document classification.
    • Managed 11+ data engineers, data scientists and architects under SAFe.
  3. 2017 – 2019

    Senior Data Scientist

    Same group

    • NLP pipeline on customer verbatims to surface pain points and raise customer satisfaction.
    • Secure ML product with intelligent document processing for capital calls.
    • AML-CFT screening: migrated legacy SAS to Apache Spark, then to GPU computing, for near-real-time screening.
  4. 2011 – 2017

    Ph.D. Research and Teaching

    SupAgro / University of Montpellier, Institut Stanislas

    • Ph.D. in applied mathematics: dynamical systems and PDEs applied to global warming, published in peer-reviewed journals.
    • Taught mathematics, statistics and data analysis at undergraduate and graduate levels.

02Toolbox

AI / ML

PythonPyTorchscikit-learnHugging FaceDSPyFastAPI

Agents & RAG

LangGraphLangChainRAG pipelinespgvectorContext engineering

LLMOps

LiteLLMLangfuseMLflowAzure AI Foundry

Data

SQLApache SparkAirflowPostgreSQLNetezza

Platform

AzureKubernetesDockerGitLab CI/CD

Governance

DORAGDPRAML-CFTExplainabilityAuditability

03Education

2018MSc Data Science & Computer Science, Université Nice Sophia Antipolis
2015Ph.D. Applied Mathematics, University of Montpellier
2011MSc Mathematics, Statistics & Applications, SupAgro / University of Montpellier

Author of peer-reviewed articles in international journals, including Differential Equations and Dynamical Systems and Chinese Annals of Mathematics.