Observed arrival · 2026-09-01
Josué Malla Takes Computer Vision into Shrimp Farms, Forests, and Classrooms
A machine-learning portfolio from Machala, Ecuador, covering edge computer vision, satellite and LiDAR analysis, sensor data, and campus access systems.
Field notes
The portfolio connects academic and applied work across several physical settings: shrimp farms in Ecuador, airborne LiDAR surveys in alpine forests, electrochemical sensor experiments at Brazil’s CNPEM, and classroom access at UTMACH. Its project links expose more than résumé bullets, including repositories, Android and iOS applications, ESP32 firmware, and an API. The page also records a CVPR 2024 best-presentation award and identifies a seven-project body of work.
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