Pablo Soto
Co-founder at Pento
Uruguay
Summary
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RockstarPablo Soto is a serial founder and machine learning engineer with 12 years of experience building AI-first products and teams from Uruguay. He co-founded multiple startups—Pento (computer vision), nBlock (practical AI adoption), and Selent.AI (AIOps for Meraki networks)—combining hands-on ML work with product and go-to-market leadership. At Tryolabs he scaled and led data science teams, delivering production CV and NLP systems and coordinating cross-functional ML projects for a San Francisco unicorn. An active contributor to the luminoth deep-learning toolkit, he’s implemented SSD features and improved cloud training workflows, showing both research depth and production engineering rigor. He moves fluidly between technical implementation, team leadership, and customer-focused AI solutions, and often bridges academic algorithmic work (bioinformatics early in his career) with applied ML in industry.
12 years of coding experience
7 years of employment as a software developer
Github Skills (8)
object-detection10
computer-vision10
machine-learning10
ssds10
tensorflow10
python10
deeplearning-ai9
deep-learning9
Programming languages (3)
Github contributions (5)
tryolabs/luminoth
Jul 2017 - Jan 2018
Deep Learning toolkit for Computer Vision.
Role in this project:
ML Engineer
ML EngineerContributions:29 commits, 2 PRs, 14 pushes in 5 months
Contributions summary:Pablo made significant contributions to the luminoth deep learning toolkit for computer vision. Their work included refactoring tools, adding commands for dataset management, and enhancing the Google Cloud ML integration, particularly for training. Major changes involved incorporating SSD (Single Shot MultiBox Detector) features, including dropout, normalization, and image visualizations for regression and classification loss.
pytorchpythonvisiondeep-learningcomputer-vision
gsantoshb/Exartu-CRM
Jan 2014 - Dec 2014
Contributions:893 commits in 11 months
reactdjangophprecruitingcrm
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