Eduardo Gonzalez
Co-Founder CEO at Xpress AI
Millbrae, California, United States
Summary
🤩
Rockstar🎓
Top SchoolEduardo Gonzalez is a seasoned technology founder and CEO with 20 years of engineering and leadership experience building AI-driven products and teams from Japan to the San Francisco Bay Area. As co-founder and CEO of Xpress AI, he’s leading development of an enterprise-grade OS for autonomous AI and pioneered a visual agent workflow builder with desktop integration. His background spans hands-on R&D, product leadership and academia—previously serving as CIO at Skymind where he led productization efforts and as an assistant professor teaching Python. An early open-source contributor, he implemented metadata export and album art integrations for the cross-platform music player Quod Libet, reflecting comfort across UI and backend systems. Fluent in Japanese and experienced in cross-cultural teams, he combines deep technical chops with a track record of turning research prototypes into commercial products.
20 years of coding experience
12 years of employment as a software developer
Japanese Business, Japanese Business at Konan UniversityB.S. B.A. Computer Science Japanese, B.S. B.A. Computer Science Japanese at University of Pittsburgh
English, Japanese, Spanish
Stackoverflow
3,948reputation
368kreached
82answers
3questions
Github Skills (18)
python10
media-player10
player10
audio-player10
sound-player10
music10
html9
api8
apim8
media-library7
gtk7
nodejs6
iphone6
angularjs6
linux6
Programming languages (14)
Github contributions (5)
quodlibet/quodlibet
Aug 2005 - May 2008
Music player and music library manager for Linux, Windows, and macOS
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:15 commits, 5 comments in 2 years 10 months
Contributions summary:Eduardo contributed to the project by implementing features related to metadata export and album art integration. They added an HTML metadata export plugin, allowing users to save song metadata to HTML files. Additionally, they developed a new, albeit broken, album art plugin that interacts with Amazon's API. These contributions demonstrate involvement in both UI and backend aspects of the music player and library manager.
playerpythonlinux-windowselectronwindows
wmeddie/dl4j-gans
Dec 2018 - Mar 2020
Some sample Generative Adversarial Networks written using Deeplearning4j
Contributions:10 commits, 7 pushes, 1 branch in 1 year 3 months
pytorchdeeplearning4jdeep-learningadversarialgenerative-adversarial-networks
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