Diego Rios

Associate Product Manager

Mexico City, United States
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Summary

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Rockstar
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Top School
Diego Rios is an Associate Product Manager based in Mexico City with five years of engineering and product experience across Google, Oracle, Meta, and fintech and telecom roles. He blends hands-on software engineering roots—building full-stack, real-time visualization tools for 4G/5G providers and web platforms—with product leadership on Google Pixel and Arts & Culture teams. Comfortable moving between data, embedded systems and user-facing features, he leverages a Telecoms & Electronic Systems engineering background and MIT/Stanford training in robotics and autonomous systems. Known for practical problem-solving, he has reduced tooling costs by replacing third-party dashboards and taught autonomous car development to high-school and university students. Outside work he’s a skateboarding, music and sports enthusiast who enjoys exploring both silicon and human cognition.
code5 years of coding experience
job3 years of employment as a software developer
bookBachelors, Telecommunications and Electronic Systems Engineering, 93, Bachelors, Telecommunications and Electronic Systems Engineering, 93 at Tecnológico de Monterrey
bookBeaver Works Summer Institute, RACECAR (Autonomous Cars Development Platform), Beaver Works Summer Institute, RACECAR (Autonomous Cars Development Platform) at Massachusetts Institute of Technology
bookDigital Media Academy: Robotics and Electrical Engineering with Arduino, Digital Media Academy: Robotics and Electrical Engineering with Arduino at Stanford University
languagesSpanish, English, German
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Github Skills (37)

pytorch10
python10
machine-learning10
reinforcement-learning10
numpy10
deep-learning10
gpu10
neural-network10
acceleration9
autograd9
tensorflow9
tensor9
gpu-acceleration9
rcpp8
pypi8

Programming languages (6)

JavaRShellSwiftHTMLPython

Github contributions (5)

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diego-urgell/BinSeg

Jun 2021 - Aug 2021

GSOC 2021. R package that performs changepoint analysis using the Binary Segmentation algorithm. Supports several statistical distributions. The model is computed in C++ and then interfaced with R via the Rcpp package.
Contributions:2 releases, 7 reviews, 91 commits in 2 months
r-packagedistributionsbinary-segmentationgsoc-2021segmentation-algorithm
diego-urgell/tnt

Mar 2024 - Mar 2025

A lightweight library for PyTorch training tools and utilities
Contributions:279 pushes, 85 branches in 1 year
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Diego Rios - Associate Product Manager