Paul Ruiz
Developer Relations Lead Robotics
Broomfield, Colorado, United States
Summary
🤩
Rockstar🎓
Top SchoolPaul Ruiz is a Developer Relations leader with 12 years of experience translating machine learning and robotics research into practical mobile and IoT applications. Currently leading Developer Relations for Robotics at Google DeepMind after a senior DevRel role at Google, he blends deep Android expertise with ML-on-device know-how, contributing notable examples to flagship repos like TensorFlow examples and MediaPipe samples. His background includes hands-on embedded and consumer-robot work at Sphero and integrations with hardware like Arduino and Google Fit, giving him a practical edge when helping developers ship products. Based in Boulder and holding an MBA, Paul pairs technical evangelism with product and business sensibilities—and funnily enough, he once worked as a zookeeper, a detail that speaks to his curiosity for systems both biological and engineered.
12 years of coding experience
10 years of employment as a software developer
Master of Business Administration - MBA, Master of Business Administration - MBA at University of Northern ColoradoBachelors of Science Computer Science, Bachelors of Science Computer Science at California State University, Fresno
mandarin chinese - ~hsk 3, arabic - learning (i can do basic things like order food in cairo :))
Stackoverflow
2,406reputation
278kreached
27answers
60questions
Github Skills (24)
kotlin10
mobile-development10
mediapipe10
android-sdk10
android-development10
java10
javas10
tensorflow10
android10
computer-vision10
wearos9
usb9
bluetooth-le9
bluetooth9
object-detection9
Programming languages (13)
Github contributions (5)
PaulTR/AndroidDemoProjects
Jan 2014 - Aug 2022
Collection of Small Android Projects
Role in this project:
Mobile Developer (Android)
Mobile Developer (Android)Contributions:40 commits, 4 PRs, 45 pushes in 8 years 8 months
Contributions summary:Paul primarily focused on developing Android applications, as evidenced by the provided code diffs. They demonstrated proficiency in creating UI elements and integrating them with backend services or hardware. The user implemented features like controlling LEDs via Arduino ADK, a watch face, and Google Fit integrations, showcasing experience with various Android APIs.
google-ai-edge/mediapipe-samples
Nov 2022 - Mar 2023
Role in this project:Mobile Developer (Android)
Mobile Developer (Android)Contributions:115 reviews, 100 commits, 241 PRs in 4 months
Contributions summary:Paul primarily contributed to the development of Android-specific samples within the MediaPipe framework. They focused on adding initial implementations for object detection and gesture recognition, creating the necessary UI components and integrating these features into the Android application. Their work involved modifying Kotlin code and integrating MediaPipe functionalities for image and video processing. Further contributions included image classification examples.
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