Gaston Ferreira
Delivery Manager at Tryolabs
Montevideo, Montevideo, Uruguay
Summary
🤩
Rockstar🎓
Top SchoolGaston Ferreira is a Delivery Manager based in Montevideo with a decade of experience leading machine learning and software projects at Tryolabs, where he progressed from junior engineer to delivery leadership. He combines hands-on ML engineering—contributing tests and bug fixes to the Luminoth computer vision toolkit—with team and project management, ensuring research-grade models move reliably into production. His background in computer engineering and university teaching of discrete math and probability brings rigor to model validation and data-driven decision making. Notably, he has deep practical experience testing region proposal networks and ROI pooling behavior, a detail that underlines his focus on correctness in complex ML pipelines.
9 years of coding experience
8 years of employment as a software developer
Computer Engineer, Computer Engineer at Universidad de la República
Github Skills (8)
object-detection10
computer-vision10
machine-learning10
deep-learning10
tensorflow10
python10
testing9
faster-rcnn9
Programming languages (3)
Github contributions (5)
tryolabs/luminoth
Aug 2017 - Nov 2017
Deep Learning toolkit for Computer Vision.
Role in this project:
ML Engineer
ML EngineerContributions:39 commits, 10 PRs, 139 pushes in 3 months
Contributions summary:Gaston primarily focused on testing and improving the `RPNAnchorTargetTest` and `RPNProposalTest` modules within the Luminoth framework. Their commits introduced new test cases, corrected existing ones, and modified the testing process to verify the correct functioning of the bounding box regression and classification tasks within the region proposal network. The user also made adjustments to the ROI pool module by adding various test cases to verify its function with bilinear interpolation and without. Additionally, the user fixed bugs that prevented the correct calculation of the scores.
pytorchpythonvisiondeep-learningcomputer-vision
gastonrod07/test
May 2018 - Sep 2019
Contributions:1 branch, 1 issue in 1 year 4 months
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