Computer Vision Engineer at Syngenta Digital Brasil
Paraná, Brazil
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Summary
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Senior
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Natalia Amorim is a Computer Vision Engineer and AI researcher with nine years of experience applying photogrammetry and deep learning to real-world problems in agribusiness and geospatial domains. She currently develops iOS AR and CoreML applications and LiDAR data acquisition pipelines at Syngenta Digital Brasil, blending mobile AR with industrial computer vision. Her background spans C++ point-cloud processing with PCL, SLAM and Structure-from-Motion research, and production-ready CNN object detection and segmentation using YOLO, PyTorch and TensorFlow. Natalia’s MSc in Geodetic Sciences and hands-on surveying roots give her a rare combination of field-grade geospatial insight and advanced ML engineering. She has repeatedly moved algorithms from research prototypes into deployed software, including volume estimation and embedded inference on mobile devices. Curious and pragmatic, she often bridges data collection workflows (LiDAR/photogrammetry) with model training to close the loop between sensing and decision-making.
9 years of coding experience
1 year of employment as a software developer
Técnico em Agrimensura, Engenharia de Agrimensura e Cartográfica, Técnico em Agrimensura, Engenharia de Agrimensura e Cartográfica at Colegio Educacional de Suplência e Técnico
Survey Engineering, Topografia, Survey Engineering, Topografia at Federal University of Pampa
MsC in Geodetic Sciences, Computer Vision and Photogrammetry, MsC in Geodetic Sciences, Computer Vision and Photogrammetry at Universidade Federal do Paraná
Contributions:25 commits, 24 pushes, 1 branch in 7 months
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Natalia Amorim - Computer Vision Engineer at Syngenta Digital Brasil