Distinguished Engineer, AI And Real-Time Systems at Nova Talent
Berkeley, California, United States
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Summary
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Senior
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Top School
Carlos Ruiz is a Distinguished Engineer specializing in AI and real-time systems with 11 years of experience building sensor-fusion solutions and production-ready embedded and cloud software from research to deployment. Based in Berkeley, he leads architecture and hardware-software integration at AiFi after progressing from director-level product innovation to senior technical leadership, applying a PhD-level background in heterogeneous sensing from Carnegie Mellon. His work spans checkout-free retail sensing, drone and device identification, and low-latency inference systems, combining rigorous academic methods with pragmatic engineering. An active contributor to open-source tooling for robotics/UIs, he has fixed long-standing cross-platform repaint and responsiveness bugs in the Crazyflie Python client, reflecting an attention to polish that improves real-world operator experience. Colleagues value his ability to translate complex multi-modal algorithms into robust, instrumented systems and shipping teams.
11 years of coding experience
6 years of employment as a software developer
Charles III University of Madrid (Universidad Carlos III de Madrid)
Bachillerato, Science and Technology, 9.75/10.00, Bachillerato, Science and Technology, 9.75/10.00 at Colegio San Viator (Madrid)
International exchange student, Computer Science / Electrical Engineering, 4.0/4.0, International exchange student, Computer Science / Electrical Engineering, 4.0/4.0 at UC Riverside
Master of Science - MS, Electrical and Computer Engineering, Master of Science - MS, Electrical and Computer Engineering at Carnegie Mellon University
Host applications and library for Crazyflie written in Python.
Role in this project:
Front-end Developer
Contributions:5 commits, 2 PRs, 3 comments in 12 days
Contributions summary:Carlos primarily focused on addressing UI-related issues within the Crazyflie client application. They implemented a QTimer to refresh the UI, fixing a problem where the interface wouldn't repaint, especially on macOS. The user also addressed line-length issues and improved UI responsiveness by adjusting the timer delay. Furthermore, they worked on ensuring that widgets in the active tab would correctly repaint, resolving a long-standing bug and improving the overall user experience.
Contributions:1 PR, 6 pushes, 2 branches in 4 years 9 months
python310pythonpython-3-6python3ffmpeg
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Carlos Ruiz - Distinguished Engineer, AI And Real-Time Systems at Nova Talent