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1 | 1 | # Badre Abderrahmane Alloul |
2 | | -**Geospatial Data Scientist & Computational Hydrologist** |
3 | | -*From research notebooks to production systems: flood, climate, energy.* |
| 2 | +**Geospatial Software Engineer & Computational Hydrologist** |
| 3 | +*Environmental Intelligence | Multi-Disciplinary Systems Design | Lyon, France* |
4 | 4 |
|
5 | | -[](https://badibosspy.github.io) |
| 5 | +[](https://badibosspy.github.io) |
6 | 6 | [](https://linkedin.com/in/badre-abderrahmane-alloul) |
7 | | -[](mailto:[email protected]) |
| 7 | +[](mailto:[email protected]) |
8 | 8 |
|
9 | 9 | --- |
10 | 10 |
|
11 | | -## What I actually do |
12 | | -I design and ship geospatial workflows that withstand production: flood-risk models, climate data pipelines, and energy-infrastructure analytics. Everything is tested, containerized, and documented. |
| 11 | +### 🌐 Unified Environmental Observation System (UEOS) |
| 12 | +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. |
13 | 13 |
|
14 | | -## Core capability map |
15 | | -| Domain | What I deliver | |
16 | | -| :-- | :-- | |
17 | | -| Computational Hydrology | Flood modeling, dam safety analytics, hydrological simulation (Wflow-SBM, HEC-HMS). | |
18 | | -| Energy Systems | Hydropower optimization, renewable siting, off-grid least-cost electrification (OnSSET). | |
19 | | -| Geospatial Engineering | High-performance raster/vector pipelines, spatial DB design, automated mapping. | |
| 14 | +```mermaid |
| 15 | +graph TD |
| 16 | + subgraph "I. DATA ASSIMILATION LAYER" |
| 17 | + A1[(Sentinel Multi-Spectral)] |
| 18 | + A2[(ERA5/CMIP6 Reanalysis)] |
| 19 | + A3[(In-Situ Sensor Networks)] |
| 20 | + end |
20 | 21 |
|
21 | | -## Stack I actually use |
22 | | -`Python · GeoPandas · Rasterio · GDAL · PostGIS · QGIS · Dask · xarray · NumPy · Pandas · SciPy · TorchGeo · U-Net · STAC · COG · AWS (S3/Lambda/EC2) · Docker · SLURM · FastAPI` |
| 22 | + subgraph "II. INTELLIGENCE & INFERENCE" |
| 23 | + B1{Latent Space Mapping} |
| 24 | + B2[Computer Vision: U-Net / SAM] |
| 25 | + B3[Physics-Informed ML] |
| 26 | + B4[Numerical Fluid Dynamics] |
| 27 | + end |
23 | 28 |
|
24 | | -## Selected outcomes (concise) |
25 | | -- **INRAe (2025)**: National flood-damage analysis cut from days to hours (Dask/xarray on SLURM); PyQGIS plugin (NDVI/EVI/NDWI/NBR) deployed to field teams with FR/EN docs. |
26 | | -- **REOR20 (2023–2025)**: Serverless flood-risk data lake (S3/STAC/COG); country-scale DEM automation (GDAL/SAGA); FastAPI + PostGIS hazard API with sub-second reads. |
27 | | -- **ENGIE / CNR (2021–2023)**: Hydropower forecasts (SCADA + ERA5), cascade dependency graph (NetworkX), PV/wind siting (GeoPandas + MCDA), OnSSET least-cost off-grid scenarios. |
28 | | -- **ANBT (2019–2020)**: PostGIS schema for 150+ dams with sub-500 ms queries; IDF automation for ungauged basins; PyQGIS DEM/watershed tool for field teams. |
| 29 | + subgraph "III. SCALABLE ORCHESTRATION" |
| 30 | + C1[Dask / xarray / SLURM] |
| 31 | + C2[Cloud-Native Pipelines: COG/STAC] |
| 32 | + end |
29 | 33 |
|
30 | | -## How I work |
31 | | -- Reproducible: versioned environments, containers, tests. |
32 | | -- Scalable: chunked arrays, lazy eval, HPC/SLURM patterns. |
33 | | -- Observable: metrics, validation steps, and clear handover docs. |
34 | | -- Direct: no buzzwords—only what runs and serves. |
| 34 | + subgraph "IV. KNOWLEDGE DELIVERY" |
| 35 | + D1[High-Frequency Hazard Mapping] |
| 36 | + D2[Resource Optimization: Water/Energy/Ag] |
| 37 | + end |
| 38 | +
|
| 39 | + A1 & A2 & A3 --> B1 |
| 40 | + B1 --> B2 & B3 & B4 |
| 41 | + B2 & B3 & B4 --> C1 |
| 42 | + C1 --> C2 |
| 43 | + C2 --> D1 & D2 |
| 44 | +
|
| 45 | + style B1 fill:#0c0c0f,stroke:#00d4aa,stroke-width:2px; |
| 46 | + style C1 fill:#0c0c0f,stroke:#00d4aa,stroke-width:2px; |
| 47 | +``` |
35 | 48 |
|
36 | 49 | --- |
37 | 50 |
|
38 | | -**Let’s build: ** [badibosspy.github.io ](https://badibosspy.github.io) · [LinkedIn ](https://linkedin.com/in/badre-abderrahmane-alloul) · [Email ](mailto:[email protected]) |
| 51 | +### 🔬 Emerging Frontiers & Research Focus |
| 52 | +Currently accelerating at the intersection of **Physics** and **Deep Learning**: |
| 53 | +- **Geo-AI & Computer Vision**: Scaling **TorchGeo** and segmentation models (U-Net, DeepLabv3+) for automated landscape classification and change detection. |
| 54 | +- **Physics-Informed ML (PIML)**: Integrating hydrological constraints into stochastic models to achieve better extrapolation in climate-scarcity scenarios. |
| 55 | +- **Cloud-Native Scalability**: Architecting distributed workflows for multi-TB datasets (S3, BigQuery, Dask) to minimize latency in global-reach applications. |
| 56 | + |
| 57 | +--- |
| 58 | + |
| 59 | +### 🔧 Technological Arsenal |
| 60 | + |
| 61 | +#### 🌍 Geospatial & Remote Sensing |
| 62 | + |
| 63 | + |
| 64 | + |
| 65 | + |
| 66 | + |
| 67 | + |
| 68 | + |
| 69 | +#### 🌊 Water, Energy & Agriculture |
| 70 | +- **Simulation**: `Wflow-SBM` `TELEMAC-2D` `ANUGA` `HEC-HMS` `HEC-RAS`. |
| 71 | +- **Optimization**: `OnSSET` `Hydropower Cascade Modeling` `MCDA Site Suitability`. |
| 72 | +- **Analysis**: `Extreme Value Stats (GEV)` `IDF Automation` `Vegetation Indices (NDVI/EVI)`. |
| 73 | + |
| 74 | +#### 🤖 Advanced Computing & Data |
| 75 | + |
| 76 | + |
| 77 | + |
| 78 | + |
| 79 | + |
| 80 | + |
| 81 | +#### 🗄️ Spatial Databases & Cloud |
| 82 | + |
| 83 | + |
| 84 | + |
| 85 | + |
| 86 | + |
| 87 | +--- |
| 88 | + |
| 89 | +### 🎨 Design Philosophy: The Digital Synthesis |
| 90 | +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. |
| 91 | + |
| 92 | +[**Full Architecture Portfolio →**](https://badibosspy.github.io) • [**Professional Connectivity →**](https://linkedin.com/in/badre-abderrahmane-alloul) |
39 | 93 |
|
| 94 | +> *"The future of physical engineering is a high-resolution simulation of reality."* |
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