09/24/2025 updated
100 % available
Engineer/Python Programmer
Malakoff, France
Only remote
MSc BiomechanicsAbout me
I’m an engineer with a strong R&D background who builds end‑to‑end AI and automation pipelines in Python.
Stochastic Differential EquationAgile MethodologyAlgorithmsAnalysis Of Variance (ANOVA)AutomationBash ShellBusiness Process ImprovementC++ (Programming Language)Continuous IntegrationDesign of ExperimentsDevOpsDjangoForecastingGitHubStatistical Hypothesis Testing
Python Development
- Advanced Python with NumPy, Pandas, Matplotlib, VTK, and full‑stack web frameworks Flask & Django.
- Clean, test‑driven code; version control with Git; CI/CD pipelines (GitHub Actions, GitLab CI).
Machine‑Learning & Deep‑Learning
- End‑to‑end pipelines: data preprocessing → model training (scikit‑learn, TensorFlow, PyTorch) → evaluation & deployment.
- Specialisations: image classification, object detection, time‑series forecasting, and automated feature engineering.
Mathematical Modeling & Optimization
- Formulation and solution of linear/non‑linear programs, mixed‑integer optimisation, stochastic differential equations, and Monte‑Carlo simulations.
- Applied to predictive maintenance, resource allocation, and process optimisation.
Image & Signal Processing
- 2‑D/3‑D image filtering, registration, mesh reconstruction, and dataset curation.
- Signal denoising, Fourier/Wavelet analysis, and sensor‑fusion algorithms.
Statistical Analysis & Experimental Design
- Descriptive & inferential statistics, hypothesis testing, ANOVA, multivariate analysis (Python + Minitab).
Software Engineering & DevOps
- Multi‑language proficiency: C++, MATLAB, Node.js, Bash scripting.
Project & Stakeholder Management
- Full‑cycle project leadership: requirement gathering, technical specification, agile sprint planning, delivery, and post‑deployment support.
- Clear communication with cross‑functional teams and external stakeholders to align objectives and ensure timely delivery.
Experience
Professional experience0 - 5 years
Freelancer since2022
Languages
EnglishFluentFrenchFluentItalianNative speaker
Project history
Developed algorithms for image and 3D mesh model registration, designed Python-based frameworks for image processing with ML, conducted clinical validation studies, and performed statistical analysis of medical datasets.
Conducted software research on 3D modelling using statistical shape model (MATLAB).
Mathematical modeling of noisy brain dynamics using Langevin stochastic differential equation and network theory (MATLAB).