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π Iβm currently working on developing AI-driven models for soil property estimation using hyperspectral data, domain adaptation, and transfer learning techniques.
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π― Iβm looking to collaborate on computer vision applied to hyperspectral imaging, especially for feature extraction, spectral unmixing, and land cover classification.
Programming & Scripting: Python, JavaScript, Bash
AI/ML Frameworks: TensorFlow, Scikit-learn, XGBoost
GIS & Remote Sensing: QGIS, GDAL, Google Earth Engine
Databases: PostgreSQL/PostGIS, SQLite
Web & API Development: Flask, Postman
DevOps & Cloud: Docker, Kubernetes, AWS
Data Analysis & Visualization: Pandas, OpenCV, D3.js