Thomas Reynaud
NLP EngineerFounding Engineer @Rose
Rose
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Founding Engineer @Rose
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Creative analytical thinker who enjoys to solving complex problems. 10+ years experience in data and AI Engineering with a strong background in language modeling, AI agents and data engineering. I build stuff on the side.
CentraleSupélec
Master’s Degree, Industrial and Logistical Systems Optimization
January 1, 2014 – January 1, 2015
Lycée Saint-Erembert
Baccalauréat, Scientifique
January 1, 2007 – January 1, 2010
Rose
Founding Engineer
January 1, 2026 – Present
Servier
Data & AI Tech Lead
May 1, 2022 – January 1, 2026
Paris, Île-de-France, France
SINGULART
Head of Data
November 1, 2021 – April 1, 2022
Paris, Île-de-France, France
Qwarry
Head of Data
October 1, 2020 – November 1, 2021
Paris, Île-de-France, France
Algolia
Senior Data Scientist
June 1, 2019 – October 1, 2020
Paris
Unbabel
AI Research Engineer
April 1, 2018 – May 1, 2019
Lisbon, Lisbon, Portugal
Clustree
Machine Learning Engineer
September 1, 2016 – April 1, 2018
Région de Paris, France
Metis
Data Scientist
January 1, 2016 – April 1, 2016
Région de New York City, États-Unis
Orange
Internship - Optimization of controlers placement is Software Defined Networks
April 1, 2015 – September 1, 2015
Issy Les Moulineaux - France
Cartier
Stage Démarche de Progrès
September 1, 2013 – January 1, 2014
Paris
Deep Learning Specialization
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has worked in diverse environments, from startups (Clustree, Qwarry, SINGULART, Rose) to larger corporations (Servier, Algolia, Orange, Cartier). This breadth of experience suggests adaptability to different company cultures. The progression into leadership roles indicates ambition and a drive for impact. The target role of NLP Engineer aligns with their past AI Research Engineer and Machine Learning Engineer roles, particularly the NLP-focused project at Metis. However, the recent leadership roles might indicate a shift away from hands-on engineering, which could be a factor for a pure NLP Engineer role. The lack of detailed project descriptions for many roles makes it difficult to fully assess the depth of their hands-on technical contribution in recent years.
Soft Skills & Operational Fit
The candidate's career progression from individual contributor to leadership roles (Data & AI Tech Lead, Head of Data) suggests strong leadership, project management, and team collaboration skills. The descriptions of roles at Servier and Clustree indicate an ability to lead teams and manage complex data initiatives. The Metis projects also highlight problem-solving and analytical thinking. However, without specific psychometric test results or interview data, a detailed assessment of soft skills and operational fit is limited.