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Tech Lead / AI Engineer / Full Stack Dev Python+Typescript / Data Scientist
A proven leader in AI, data science, and cloud technologies, I bridge the gap between complex technical challenges and tangible business solutions. My unique background includes contributing to the Higgs boson discovery at CERN and leading the development of full-scale SaaS platforms across diverse industries (social media, food tech, energy, geospatial, etc.). I'm adept at combining math, data science, AI, and software engineering to drive innovation. As an educator, I also enjoy empowering the next generation of tech talent at institutions like UCLouvain. Let's connect to discuss how we can build impactful solutions together.
Université catholique de Louvain
Master (Licence) in Physical Science, Particle Physics
January 1, 2003 – January 1, 2007
Neterium
Senior Data/ML Engineer
October 1, 2025 – Present
Louvain-la-Neuve · Hybrid
UCLouvain - Université catholique de Louvain
Invited lecturer at UCLouvain Physics Department
September 1, 2025 – Present
Louvain-la-Neuve, Région wallonne, Belgique · On-site
Objectory
Technical Lead
June 1, 2025 – Present
Brussels Metropolitan Area · Hybrid
Haute École de Namur-Liège-Luxembourg (Hénallux)
Invited Lecturer
October 1, 2024 – January 1, 2025
Namur, Walloon Region, Belgium · On-site
constellr
Senior Data Scientist
November 1, 2023 – July 1, 2024
Brussels, Brussels Region, Belgium · Hybrid
Gosselin & de Walque
Chief Technology Officer
October 1, 2021 – October 1, 2025
Belgium
Datavillage
Head of Artificial Intelligence
February 1, 2021 – September 1, 2023
Hybrid
Université catholique de Louvain
Invited Lecturer at the Louvain School of Engineering
September 1, 2019 – August 1, 2024
louvain-la-neuve · On-site
AI Black Belt
Machine Learning Trainer | AI Black Belt Program
May 1, 2019 – December 1, 2020
On-site
Deeper Data Analytics
Founder / Owner
April 1, 2018 – Present
Eghezee, Belgium · On-site
Youmeal_io
Tech Lead (Data Science & Full Stack Dev)
April 1, 2018 – Present
Louvain-La-Neuve, Belgium
N-SIDE
Senior Software Engineer / Machine Learning
May 1, 2017 – March 1, 2018
Louvain-La-Neuve, Belgium
Kensu
Data Scientist
December 1, 2016 – April 1, 2017
Liège Area, Belgium
Smartie N.V.
Principal Data Scientist
October 1, 2016 – December 1, 2016
Kontich, Belgium
FNRS
Physics Research Fellow
June 1, 2013 – September 1, 2016
Université catholique de Louvain, Belgium
CERN
Physics Research Fellow
June 1, 2011 – May 1, 2013
Geneva Area, Switzerland
Florida State University
Post-Doctoral Physcs Fellow
November 1, 2010 – May 1, 2011
Florida, USA
Université catholique de Louvain
Ph.D. in high energy physics
September 1, 2007 – October 1, 2010
Université catholique de Louvain
Licence en sciences physiques
September 1, 2003 – June 1, 2007
Kagglers at Kaggle
May 1, 2016 – Present
Had some fun with Spark and Scala with this kaggle competition where the challenge was to exploit the Expedia big data to predict in which hotel class (cluster) a given customer is most likely to book a room. I am currently ranked 28 over 1714 participants for this first challenge.
Certified Digital Maturity Expert (Chèques Entreprise)
Service public de Wallonie
June 24, 2026 – Present
MapR Distribution Essentials (HDE 110)
MapR Technologies, acquired by Hewlett Packard Enterprise company in 2019
June 24, 2026 – Present
Apache Hadoop Essentials (HDE 100)
MapR Technologies, acquired by Hewlett Packard Enterprise company in 2019
June 24, 2026 – Present
Create Data Pipelines Using Apache Spark (DEV 362)
MapR Technologies, acquired by Hewlett Packard Enterprise company in 2019
June 24, 2026 – Present
Build and Monitor Apache Spark Applications (DEV 361)
MapR Technologies, acquired by Hewlett Packard Enterprise company in 2019
June 24, 2026 – Present
Apache Spark Essentials (DEV 360)
MapR Technologies, acquired by Hewlett Packard Enterprise company in 2019
June 24, 2026 – Present
MapR Streams Essentials (DEV350)
MapR Technologies, acquired by Hewlett Packard Enterprise company in 2019
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across various companies, including startups (Neterium, Objectory, Gosselin & de Walque, Datavillage, Youmeal_io) and academic institutions, suggests adaptability to different organizational cultures. The involvement in teaching and open-source contributions (Kaggle) indicates a collaborative and knowledge-sharing mindset. The breadth of skills from physics research to full-stack development and ML engineering demonstrates a continuous learning and growth-oriented approach. The target role of ML Engineer aligns well with the candidate's recent and significant experience in developing and deploying ML systems.
Soft Skills & Operational Fit
The candidate's extensive experience in leadership roles (CTO, Head of AI, Technical Lead) and as an invited lecturer suggests strong communication, problem-solving, and mentoring abilities. The descriptions of developing end-to-end platforms and managing complex architectures indicate a proactive and results-oriented work attitude. The freelance nature of many roles also points to adaptability and self-management. However, without psychometric test results, a deeper assessment of stress handling and team collaboration is not possible.