Connor Sanders is a systems engineer with eight years of hands-on experience across pre- and post-silicon graphics, datacenter GPU performance, and hardware validation, currently on AMD’s Datacenter GPU Performance Team. He blends deep systems-level debugging and automation skills—Python, Go, bash—with practical hardware troubleshooting from SSDs and VRAM to PCIe and power systems, cultivated at Intel, NVIDIA, and in field deployments. Connor has shipped tooling that automates VRAM and firmware validation, test system configuration, and microcontroller firmware management, improving debugging efficiency across multi-site teams. An active open-source maintainer, he originated and continues to lead a robust Yahoo Finance Python module that demonstrates his backend design and documentation discipline. Based in Folsom, CA, he brings a rare combination of low-level hardware insight and backend software craftsmanship, thriving at the intersection of firmware, drivers, and scalable automation.
8 years of coding experience
2 years of employment as a software developer
Associate of Science - AS Computer Science, Associate of Science - AS Computer Science at De Anza College
A powerful financial data module used for pulling data from Yahoo Finance. This module can pull fundamental and technical data for stocks, indexes, currencies, cryptos, ETFs, Mutual Funds, U.S. Treasuries, and commodity futures.
Role in this project:
Back-end Developer
Contributions:24 releases, 1 review, 85 commits in 5 years 4 months
Contributions summary:Connor was the primary contributor, responsible for the initial module, and subsequent versions, indicating a lead development role. They implemented core functionality for pulling financial data from Yahoo Finance. The user consistently updated the module with bug fixes, and the addition of new methods. The user also updated the setup and documentation, indicating a commitment to a stable and usable module.
Contributions:23 commits, 27 pushes, 1 branch in 6 months
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Connor Sanders - Systems Engineer, Datacenter GPU Performance Team