Wesley Passos
Assistant Professor at Cefet/RJ - Centro Federal de Educação Tecnológica Celso Suckow da Fonseca
Rio de Janeiro, Brazil
Summary
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Senior🎓
Top SchoolWesley Passos is an Assistant Professor and researcher with a PhD and MSc in Electrical Engineering and eight years of experience applying signal processing, computer vision, and machine learning to real-world problems, notably in oil & gas and sports analytics. He has built end-to-end vision systems—from tracking and homography to action recognition—and contributed to open-source object-detection metrics, adding spatio-temporal tube evaluation and format conversions. His PhD work, which earned a Google Latin America Research Award, used computer vision to identify Aedes aegypti breeding sites, demonstrating an aptitude for societally impactful applied research. Equally comfortable in academic and production environments, he has deployed ML models on AWS and integrated robust testing and CI practices. Based in Rio de Janeiro, Wesley combines deep control and automation foundations with practical field experience in instrumentation and embedded localization from international collaborations.
8 years of coding experience
8 years of employment as a software developer
Doctor of Science (DSc), Electrical and Electronics Engineering, Doctor of Science (DSc), Electrical and Electronics Engineering at Federal University of Rio de JaneiroUniversity of GeorgiaBachelor’s Degree, Control and Automation Engineer, Bachelor’s Degree, Control and Automation Engineer at Cefet/RJ - Centro Federal de Educação Tecnológica Celso Suckow da Fonseca
Portuguese, English, Spanish
Stackoverflow
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0reached
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Github Skills (6)
object-detection10
bounding-box10
python10
metric10
pytest9
computer-vision9
Programming languages (2)
Github contributions (5)
rafaelpadilla/review_object_detection_metrics
Nov 2020 - Dec 2020
Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.
Role in this project:
ML Engineer
ML EngineerContributions:21 commits in 1 month
Contributions summary:Wesley primarily contributed to the development of object detection metrics, particularly focusing on spatio-temporal tube metrics. Their work included adding new functionality for tube evaluation and implementing conversions between different bounding box formats. They also made improvements to the testing infrastructure, adding test samples and integrating with Travis CI.
average-precisionbounding-boximagenetobject-detectionmetrics
wesleylp/libras
Mar 2021 - Jan 2022
Contributions:68 commits, 7 pushes, 1 comment in 10 months
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