Geospatial Software Engineer & Computational Hydrologist
Environmental Intelligence | Multi-Disciplinary Systems Design | Lyon, France
I engineer architectures that bridge the gap between Physical Simulation and Artificial Intelligence. My workspace is a multi-layered topology where multi-spectral satellite signals converge with numerical PDE solvers to create actionable environmental foresight.
graph TD
subgraph "I. DATA ASSIMILATION LAYER"
A1[(Sentinel Multi-Spectral)]
A2[(ERA5/CMIP6 Reanalysis)]
A3[(In-Situ Sensor Networks)]
end
subgraph "II. INTELLIGENCE & INFERENCE"
B1{Latent Space Mapping}
B2[Computer Vision: U-Net / SAM]
B3[Physics-Informed ML]
B4[Numerical Fluid Dynamics]
end
subgraph "III. SCALABLE ORCHESTRATION"
C1[Dask / xarray / SLURM]
C2[Cloud-Native Pipelines: COG/STAC]
end
subgraph "IV. KNOWLEDGE DELIVERY"
D1[High-Frequency Hazard Mapping]
D2[Resource Optimization: Water/Energy/Ag]
end
A1 & A2 & A3 --> B1
B1 --> B2 & B3 & B4
B2 & B3 & B4 --> C1
C1 --> C2
C2 --> D1 & D2
style B1 fill:#0c0c0f,stroke:#00d4aa,stroke-width:2px;
style C1 fill:#0c0c0f,stroke:#00d4aa,stroke-width:2px;
Currently accelerating at the intersection of Physics and Deep Learning:
- Geo-AI & Computer Vision: Scaling TorchGeo and segmentation models (U-Net, DeepLabv3+) for automated landscape classification and change detection.
- Physics-Informed ML (PIML): Integrating hydrological constraints into stochastic models to achieve better extrapolation in climate-scarcity scenarios.
- Cloud-Native Scalability: Architecting distributed workflows for multi-TB datasets (S3, BigQuery, Dask) to minimize latency in global-reach applications.
- Simulation:
Wflow-SBMTELEMAC-2DANUGAHEC-HMSHEC-RAS. - Optimization:
OnSSETHydropower Cascade ModelingMCDA Site Suitability. - Analysis:
Extreme Value Stats (GEV)IDF AutomationVegetation Indices (NDVI/EVI).
Complexity in the natural world requires simplicity in code. I design systems to be Reproducible, Scalable, and Observable. My motivation is to build the digital synthesis between the physical world and computational intelligence.
Full Architecture Portfolio → • Professional Connectivity →
"The future of physical engineering is a high-resolution simulation of reality."