Freelancer profile translated to English.
Back to original languageAbout Grégory
I design and implement Artificial Intelligence (AI) algorithms for innovative companies, and train your teams in the field of AI.
I am involved in the entire chain from proof of concept to production, including R&D and industrialization:
- Data and architecture audits
- Data analysis
- Feasibility studies for Artificial Intelligence projects
- Development and evaluation of algorithms
- Industrialization of algorithms
- Technological and scientific watch
- Artificial Intelligence training for your decision-makers or your R&D teams
Reputable clients: Parrot Drones, TAG Heuer, Stago, EOS Imaging, Assurance Maladie, Orsys
Areas of expertise: machine learning / deep learning, data analysis, computer vision, signal processing, speech recognition, audio scene analysis, robotics, IoT, C++, Python.
12 years of experience in developing and deploying complex solutions, including 7 years in robotics, where I notably brought the Pepper robot to life at Aldebaran.
I have accreditation from the Ministry of Research, allowing my clients to benefit from the Research Tax Credit (CIR) on R&D expenses subcontracted to me.
German
Native or bilingual
English
Fluent
French
Native or bilingual
Can work on-site
Paris (up to 15km)
Experience
- MH Tech - Direction Data
On Malt
Consolidation and industrialization of AI services (Documentary, Language, Generative)BANKING AND INSURANCEOctober 2025 - December 2025 (3 months)Paris, France- Automatic detection model for erroneous files provided instead of the requested supporting document- Web application for demonstration of large-scale voice transcription for phone calls between clients and call center agents- Technical and governance documentation for a project to prioritize emails related to personal data access/deletion/portability requests - ORSYSOccasional TrainerEDUCATION AND E-LEARNINGJuly 2021 - Today (4 years and 11 months)Paris, FranceOccasional trainer for two courses:- "Artificial Intelligence: Stakes and Tools", 2 days, aimed at IT directors, project managers, and technical consultants.This seminar presents the main approaches to Artificial Intelligence, emphasizing Machine Learning and particularly neural networks.See https://www.orsys.fr/formation-intelligence-artificielle-enjeux-outils.html- "Deep Learning and Neural Networks: The Fundamentals", 3 days, a more technical and scientific training aimed at engineers and data scientists.This seminar develops the theoretical and practical foundations for designing and training neural networks, and presents fundamental architectures.See https://www.orsys.fr/formation-deep-learning-reseaux-neurones-fondamentaux.html
- Caisse Primaire d'Assurance MaladieMachine Learning ExpertPUBLIC SECTORFebruary 2024 - March 2024 (1 month)Feasibility study for CPAM Meurthe-et-Moselle for the development of a predictive model to prioritize calls for the colorectal cancer screening campaign.
- Precisely identify the need
- Map available data (format, storage, lifecycle) and identify data access conditions
- Select relevant data with business experts
- Explore data, analyze its quality, and search for complementary external data
- Recommend approaches and algorithms to evaluate
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Education
- Master of Engineering, specialization Applied MathematicsMines Paris - PSL2012Option MAREVA : Mathématiques Appliquées, Robotique, Vision, Automatique Notamment : - Machine Learning / Deep Learning - Vision par ordinateur - Analyse et traitement du signal audio - Analyse de données