Chris Trevino is a Principal Software Engineer with two decades of experience building large-scale, mission-critical systems across defense, e-commerce risk, causal inference, data visualization, and AI-driven knowledge retrieval. He blends deep systems architecture and DevOps instincts with hands-on work—shaping APIs, databases, and UIs—and holds an MS in Computer Science focused on AI. At Boeing he optimized mission planning for the F/A-18, later driving data-mining and platform work at ATS and risk systems at Amazon, and now leads graph-based RAG initiatives at Microsoft that improve context-aware AI retrieval. An active open-source contributor, his commits span popular projects like react-dnd, graphql-code-generator, DoWhy, and Microsoft’s GraphRAG where he improved LLM history tracking and configuration. Known for translating complex requirements into deployable, testable systems, he often pairs research-grade ideas with pragmatic engineering to accelerate product impact.
11 years of coding experience
13 years of employment as a software developer
MS Computer Science, MS Computer Science at Washington University in St. Louis
BS Computer Science, BS Computer Science at Washington State University
Contributions:74 releases, 35 reviews, 1889 commits in 6 years
Contributions summary:Chris primarily focused on improving the documentation for the React DnD library, with their commits centered on updating and refining example code within the documentation. They made code formatting improvements by applying Prettier and re-organized code examples. They also made several minor fixes, like adding a step to remove the .jsx extension, and updated links, to improve the overall readability and accessibility of the documentation.
Contributions:36 commits, 9 PRs, 11 pushes in 1 year 8 months
Contributions summary:Chris primarily contributed to the development of the React-based iFrame component. Their work included adding class attributes to the iFrame's top-level divs for better CSS hook integration, fixing unit tests, and updating the component to use modern ES6 classes. The user also implemented features such as including head content within the frame-content div and refactored the context implementation for the iFrame component.
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