Camille L'Huillier

AI/ML Engineer

Salary / Daily rate

Paris, France

Freelance

Can come onsite

Skills

Deep LearningData ScienceMachine LearningAIPythonTest Driven DevelopmentPostgreSQLGitRESTful APIsGrafanaBackend DevelopmentMicroservicesLLMs / Large language modelsBig DataETLPyTorchGoogle Cloud PlatformTerraformDockerdbtKubernetesGitHubCircleCIPrometheusSQL databases

Languages

English

About me

Intro

Experienced Software Engineer with a strong background building Data, ML and AI applications.

Links

Work experience

AI Engineer

Presti AI (YC S24)

Jan 2025 - Present

1 year 10 months

Paris, France

At Presti, I am building core AI capabilities to streamline furniture staging through generative image models. On top of this foundation, I am leading the development of an interactive AI assistant to guide users and an autonomous AI Staging Agent to execute bulk tasks end-to-end, significantly improving both scalability and usability.

PriceHubble

Jan 2018 - Present

8 years 10 months

Paris, France

Lead Data Platform

Jan 2023 - Present

3 years 10 months

Paris, France

Lead architect of PriceHubble's Data/ML platform, managing two senior engineers. Our mission is to streamline the development of data and ML products through a comprehensive platform ecosystem. We provide specialized platforms, DevOps/DataOps/MLOps automations, and support our product teams in solving complex data and ML engineering challenges.

ML Engineer

Jan 2018 - Jan 2023

5 years 1 month

Paris, France

As part of the Automated Valuation Models team • I was in charge of multiple Automatic Valuation Model training pipelines • I supervised R&D internships aiming at extracting quality and condition features from real estate adds' images • I led the development of a data visualization web application and a few internal core packages. As part of the Market Signals team • I created the first ETL workflows for real estate ads processing. • I created a scalable ML deduplication framework for real estate ads. This framework is still running daily in production over hundreds of millions of records and is critical to provide a consolidated view of the market.

Data Science Intern

Societe Generale Corporate and Investment Banking - SGCIB

Sep 2017 - Feb 2018

6 months

Région de Paris, France

Research Intern

Laboratoire de Recherche en Informatique (LRI)

Jul 2017 - Aug 2017

2 months

Région de Paris, France

Blue Collar Intern

Synchrotron SOLEIL

Jul 2016 - Aug 2016

2 months

Région de Paris, France


Education

CentraleSupélec

Master of Engineering - MEng (Supelec), major in Applied Mathematics

2015 - 2019

5 years

Activities and societies: Treasurer of Espérance en Béton, member of Club Raid

Coursework including Statistics, Probability, Machine Learning, Signal Processing, Numerical Methods, Optimization, Algorithmics, Software Engineering, Big Data

Paris-Sud University (Paris XI)

2 years university degree, Mathematics and Physics

2013 - 2015

3 years

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