Thomas Bordier
Senior Product Manager | Applied Machine Learning
Salary / Daily rate
Paris, France
Freelance
Can come onsite
Skills
Languages
About me
Intro
Product Engineer, AI/ML. Ex-Photoroom ($500M gen-AI app, 150M+ downloads): built their ML evaluation system and led generative-AI product strategy. Ex-Cardiologs (FDA-cleared medical AI, acquired by Philips) and Spinergie (doubled ARR as Senior PM). Polytechnique + ENS (MVA). I run the full product cycle and ship the first version myself: prototypes, eval pipelines, MVPs in Python. Best at 0-to-1 and ML-heavy products. Paris, on-site or remote. Reply in ~1h.
Work experience
Photoroom
Nov 2024 - Present
2 years
Product Manager
Dec 2025 - Present
11 months
Building the ML layer that makes AI imagery reliable enough for e-commerce at scale. Product lead for Applied ML, the team solving the hardest problems in AI-generated product photography, so sellers can confidently use AI across their entire catalog.
Product Engineer
Nov 2024 - Dec 2025
1 year 2 months
Built the evaluation infrastructure that told us whether our generative AI models were actually good. At Photoroom, I design the methodology and tooling to measure quality across our AI image generation pipeline, defining datasets, criteria, and the benchmarks that turned subjective "does this look good?" into something we could track and improve. Built https://huggingface.co/spaces/bgsys/background-removal-arena
Product
AnimajFreelance
Jun 2024 - Jul 2024
2 months
Paris, France
Led a project at Animaj to enhance multilingual YouTube portfolio management, boost user adoption and streamline workflows through user research and iterative prototyping.
Senior Product Manager
Spinergie
Apr 2023 - Jul 2024
1 year 4 months
Leading a talented team at Spinergie, I drove innovation in the maritime industry by developing data and analytics solutions that doubled revenue and enhanced user experience for Smart Fleet Management. Key Achievements: - 2x Revenue Growth: Spearheaded initiatives that doubled ARR. - User Activation: Boosted Tier 1 Enterprise client engagement through app simplifications. - New Product Launch: Introduced a Wind Installation tracking product, securing major Tier 1 deals.
Founder in Residence - EFPA9
Entrepreneur FirstFreelance
Sep 2022 - Dec 2022
4 months
Applied Scientist / Lead
Cardiologs
Aug 2017 - Jul 2021
4 years
Paris, France
At Cardiologs, later acquired by Philips, my role as an Applied scientist involved developing machine learning algorithms for cardiac diagnostics. My work, which included improving neural networks for beat detection, and creating an advanced beat clustering algorithm, was instrumental in driving the technology from concept to production, compliant with regulatory standards. This experience now enriches my product role, equipping me with a unique blend of technical expertise, regulatory insight, and a deep understanding of transforming innovations into market-ready, impactful products.
Data Science Intern
Philips
Apr 2017 - Aug 2017
5 months
92150 Suresnes, France
Deep Learning for tool detection in surgery scenes
Data Science Intern
Kayrros
Mar 2016 - Jul 2016
5 months
Berkeley, CA, USA
Natural Language Processing & Text Mining
Education
Noé
Product Management training, from Discovery to Delivery
2022 - 2022
2 months
Lycée Sainte-Geneviève
MP*, Mathematics & Physics
Classe Préparatoire aux Grandes Écoles
ENS Paris-Saclay
Master 2, MVA - Mathematics, Computer Vision and Machine Learning
Focus on Artificial Intelligence and Applied Mathematics
École Polytechnique
Ingénieur polytechnicien, Machine Learning & Software Engineering
Focus on Artificial Intelligence and Applied Mathematics
Lycée Janson-de-Sailly
MPSI/MP*, Mathematics & Physics
Classe Préparatoire aux Grandes Écoles