Chris Hoge
San Francisco Bay Area United States
Summary
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RockstarChris Hoge is a Developer Relations Manager at Modular with 11+ years of experience crafting welcoming, high-impact open-source communities around ML and cloud-native projects. He led community strategy for Label Studio at HumanSignal and has been a visible advocate and documentation contributor to the Apache TVM project, adding tutorials and auto-scheduling examples that help users deploy optimized models. Chris bridges developers, hardware vendors, and product teams—co-founding Kubernetes SIG-Cloud-Provider and driving OpenStack–Kubernetes integrations—to turn complex deployment and compatibility challenges into actionable programs and docs. Based in Portland, he leverages an M.S. in applied mathematics and a background in high-performance engineering to demystify compiler and deployment trade-offs for both newcomers and expert contributors.
11 years of coding experience
Github Skills (11)
tvm10
compiler10
machine-learning10
compiler-compiler10
deep-learning10
documentations10
onnx10
deep-learning-ai10
documentation10
compilers10
python9
Programming languages (21)
Github contributions (5)
apache/tvm
Jul 2020 - Dec 2021
Open deep learning compiler stack for cpu, gpu and specialized accelerators
Role in this project:
ML Engineer & Technical Writer
ML Engineer & Technical WriterContributions:40 reviews, 12 commits, 34 PRs in 1 year 4 months
Contributions summary:Chris primarily contributed to the documentation and tutorials within the repository. Their work included updating installation instructions, adding information to tutorials on using ONNX models and the TVM command-line driver (TVMC). They also added examples on auto-scheduling and matrix multiplication in the tutorial documentation. Additionally, they addressed a bug in a processing script.
metalvulkancompilertensoropencl
hogepodge/puppetlabs-openstack
Jan 2015 - Jul 2016
Contributions:10 PRs, 44 pushes, 11 branches in 1 year 6 months
puppetdeploymenttestingdeployment-testingopenstack
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