Francisco L.

Hi! I’m Francisco, a Machine Learning & Computer Vision Engineer specializing in real-world visual data, geospatial AI, 3D data, and end-to-end CV/ML systems. I help startups and technical teams build practical solutions for problems involving aerial imagery, satellite and street-level data, industrial inspection, LiDAR, point clouds, RGB-D, multi-camera systems, and other real-world perception challenges. My experience includes: • Segmentation, detection, classification, anomaly detection, and data canonicalization • Geospatial AI, remote sensing, mapping, and spatial data processing • LiDAR, RGB, RGB-D, and point cloud processing • 3D reconstruction, camera and object pose estimation, and sensor fusion • Geometry extraction and accurate measurement systems from visual data • Large-scale mapping, georeferencing, and calibration tools • Dataset creation, annotation workflow design, taxonomy definition, and QA • End-to-end CV/ML prototyping, training, and deployment I’ve built systems for industrial inspection, geospatial mapping, 3D scanning, street-view and LiDAR processing, 3D shape understanding, and measurement from real-world imagery. I work mainly with Python, PyTorch, TensorFlow, OpenCV, Open3D, and C++, and I’m comfortable taking projects from early R&D all the way to robust implementation. If your project involves complex visual, 3D, or geospatial data and you need someone who can combine strong technical depth with practical execution, I’d love to hear about it :)