Open to opportunities

Matthieu Cordier

@matthieucordier

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Data scientist and co-founder specializing in AI solutions.

France

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What I'm looking for

I seek a collaborative environment where I can leverage my AI expertise to drive innovation and tackle complex challenges.

With a robust background in mathematical modeling and programming, I have honed my skills through diverse projects in machine learning and data engineering. My journey began with a Master’s in Operations Research from Columbia University, followed by a Master’s in Energy and Applied Mathematics from Ecole Polytechnique. This academic foundation has equipped me with the ability to bridge abstract mathematical concepts with practical applications, leading to my co-founding of Fonction Labs.

At Fonction Labs, I specialize in developing custom AI solutions, focusing on Generative AI applications and data engineering projects. My experience includes leading initiatives for major clients, such as automating document extraction for an agro-food leader and implementing security measures for sensitive legal documents. Previously, as a Data Scientist at BCG X, I designed anomaly detection software and optimized data pipelines, showcasing my ability to transform complex data into actionable insights.

Experience

Work history, roles, and key accomplishments

Current

Co-Founder

Current

Fonction Labs

Dec 2023 - Present (1 year 6 months)

Co-founded Fonction Labs, specializing in building custom AI solutions. Developed and deployed multiple GenAI applications, focusing on agents, RAG, LLM pipelines, and AI evaluation methods. Led projects for document extraction and report generation for various industries.

AI Data Engineering Machine Learning Data Pipelines Document Generation Reporting LLM

Data Scientist

BCG X

Nov 2021 - Dec 2023 (2 years 1 month)

Designed and developed anomaly detection software for images, automating industrial processes. Developed data pipelines and deployed machine learning models using functional programming principles, and built optimization models for energy project design.

Anomaly Detection Machine Learning Data Pipelines Functional Programming Optimization Automation Industrial Software Development Data Analytics

Machine Learning Engineer

Amadeus

Jul 2019 - Dec 2020 (1 year 5 months)

Architected and developed an Automated Root Cause Analysis tool from scratch. Created a popularity prediction model using Generalized Mixed Effect Models for cache management, enhancing operational efficiency.

Root Cause Analysis Machine Learning Automation Software Architecture Cache Data Analysis Operational Tools

Research Intern

Elum Energy & Parrot

Jan 2018 - May 2018 (4 months)

Developed new Energy Management Systems for microgrid optimization and conducted research on triplet loss neural networks for similarity learning, contributing to advancements in energy and AI technologies.