Description

I’m an engineer with a strong R&D background who builds end‑to‑end AI and automation pipelines in Python. In a nutshell:

• Full‑stack Python expertise – scientific computing, deep‑learning, data analysis, optimization, process automation and web API's.

• Autonomous project ownership – I define requirements, design solutions, implement, test, and deploy, all while keeping stakeholders informed.

Industry field of expertise

Languages

Workplace preferences

Can work on-site

Paris (up to 10km)

Materialise
R&D Engineer
January 2019 - November 2022 (3 years and 10 months)
• Developed algorithms for image and 3D mesh model registration using advanced mathematical optimization methods in Python
• Designed and implemented a Python-based framework for image processing using Machine learning and deep learning.
• Conducted clinical validation studies in collaboration with interdisciplinary medical teams.
• Performed statistical analysis of medical datasets to support diagnostic research in Python and Minitab.
• Built medical images dataset.
• Completed specialized coursework in AI, including object classification and detection, time-series analysis, and NLP.
Python 3D modeling mathematical optimization Git Data analysis
CNRS Laboratoire de Psychologie de la perception
Research Intern
April 2017 - June 2017 (2 months)
• Mathematical modeling of noisy brain dynamics using Langevin stochastic differential equation and network theory(MATLAB)
Matlab mathematical optimization Data analysis
Institut de Biomécanique Humaine Georges Charpak École nationale supérieure d'arts et métiers
Research Intern
February 2018 - June 2018 (4 months)
• Conducted software research on 3D modelling of the skull from bi-planar X-rays using statistical shape model (MATLAB)