Chris Xiao is a Technical Operations Systems Engineer with eight years of software and operations experience, currently building resilient infrastructure at Jump Trading in the Greater Chicago area. He combines hands-on systems engineering with backend development skills demonstrated by meaningful contributions to the widely used Home Assistant open-source project—adding config flows, sensors, icons, and tests to improve usability and reliability. His background spans research and production contexts, from optimizing Dask/Xarray deployments for large geospatial workloads to developing MRI image preprocessing tools and teaching Java fundamentals. Comfortable bridging academia and high-performance trading operations, he focuses on pragmatic automation, observability, and test-driven improvements that reduce operational friction.
8 years of coding experience
Bachelor of Science, Computer Science, Bachelor of Science, Computer Science at University of Michigan
Bachelor of Science, Computer Science, Bachelor of Science, Computer Science at Purdue University
:house_with_garden: Open source home automation that puts local control and privacy first.
Role in this project:
Back-end Developer
Contributions:7 reviews, 12 PRs, 22 comments in 2 years 1 month
Contributions summary:Chris's contributions primarily involved enhancing the functionality and user experience of the Home Assistant project. They implemented an options flow and tests for the met component, enabling users to configure and customize its behavior. The user also added icons for qbittorrent speed sensors. Further work involved refactoring and simplifying code related to the qbittorrent sensor, and also included the addition of a config flow for qbittorrent, along with associated tests.
A Flask-based lightweight web dashboard to monitor Raspberry Pi system status.
Contributions:41 commits, 96 PRs, 146 pushes in 4 years
system-statusraspberry-pipythonmonitorflask
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Chris Xiao - Technical Operations Systems Engineer