My Expertise

What I do

From requirements analysis to solution architecture, R&D, and production deployment, I cover the full lifecycle of Data & AI projects.

Data Science & Machine Learning

Statistical modeling, supervised and unsupervised learning, deep learning (TensorFlow/Keras, PyTorch, Scikit-Learn). Segmentation, classification, regression, neural networks. From proof of concept to deployed model.

MLOps & DevOps

ML pipeline industrialization: Docker, Kubernetes, CI/CD (GitHub Actions, GitLab CI), MLflow, unit testing. AWS cloud infrastructure. From prototype to robust production system.

Scientific Computing & Big Data

Large-scale data processing and distributed computing (Dask, HPC, Python). A background in international fundamental research brings rare analytical and statistical rigor to industry.

Visualization & Reporting

Design of interactive dashboards and analysis reports: Matplotlib, Bokeh, Plotly, Holoviews, Datashader, Streamlit, Grafana. Communicating results to both technical and non-technical audiences.

Project Management & Leadership

Managing a multidisciplinary team (10 people). Strategic and operational leadership of complex bespoke projects, from requirements analysis to delivery. Client and stakeholder relationship management.

Projects