Jonathan Chavez
Software Engineer III at Google DeepMind
San Rafael, California, United States
Summary
🤩
Rockstar🎓
Top SchoolJonathan Chavez is a Software Engineer III based in San Rafael, California, with five years of experience building ML-driven systems and production software at Google and DeepMind. He has progressed from an engineering resident to senior engineering roles on teams including Kaggle, applying deep learning to real-world problems such as automated mapping of firebreaks and large-scale biodiversity acoustic classification. Jonathan blends research rigor from his McNair and Koret scholar projects with hands-on product engineering, delivering models and pipelines that move from prototype to production. Known for “doing things on a deeper level,” he’s comfortable navigating both model architecture (UNet/ResNet, CNNs) and the operational concerns of shipping at Google scale. Colleagues would describe him as quietly ambitious and technically curious, often translating academic insights into tangible engineering outcomes.
5 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Sonoma State University
Github Skills (9)
machine-learning10
kaggle10
docker10
api10
python10
docker-image10
data-science9
cran7
dockerfile7
Programming languages (5)
Github contributions (5)
calderjo/DeepLearning_Dozerline
Oct 2021 - Jul 2022
Contributions:2 PRs, 22 pushes, 2 branches in 8 months
calderjo/385_Computer_Graphics
Feb 2022 - Apr 2022
Contributions:13 pushes, 1 branch in 2 months
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