PROFILE_README.md

Badre Abderrahmane Alloul

Geospatial Software Engineer & Computational Hydrologist
Environmental Intelligence | Multi-Disciplinary Systems Design | Lyon, France

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🌐 Unified Environmental Observation System (UEOS)

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;

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🔬 Emerging Frontiers & Research Focus

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.

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🔧 Technological Arsenal

🌍 Geospatial & Remote Sensing

🌊 Water, Energy & Agriculture

• Simulation: Wflow-SBM TELEMAC-2D ANUGA HEC-HMS HEC-RAS.
• Optimization: OnSSET Hydropower Cascade Modeling MCDA Site Suitability.
• Analysis: Extreme Value Stats (GEV) IDF Automation Vegetation Indices (NDVI/EVI).

🤖 Advanced Computing & Data

🗄️ Spatial Databases & Cloud

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🎨 Design Philosophy: The Digital Synthesis

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."