Christopher Tee is a software engineer with a decade of experience bridging industrial process engineering and big data systems, currently applying MASc-level research in system control and large-scale data processing. At Georgian since 2020 he builds production software while contributing to open-source ML tooling—most notably adding retrieval and You.com integration features to the DSPy framework. He combines hands-on full-stack development with statistical analysis, process monitoring and automation, focusing on turning complex plant and data challenges into efficient, scalable solutions. Known as a fast learner and collaborator, he pursues impact-driven projects that mix rigorous experimentation with practical deployment.
10 years of coding experience
Canadian Pre-University, Canadian Pre-University at Taylor's University
Bachelor of Applied Science (BASc), Bachelor of Applied Science (BASc) at University of Toronto
DSPy: The framework for programming—not prompting—language models
Role in this project:
Full-stack Developer
Contributions:7 PRs, 3 comments in 10 months
Contributions summary:Christopher contributed to the DSPy framework by implementing and integrating new features, specifically related to You.com's API. They added the `You` module and implemented retrieval functionality using You.com's search and news APIs within the `YouRM` class. Further contributions included refactoring, updating documentation, and incorporating new features like the YouLM endpoint.
:no_entry: [DEPRECATED] Adapt Transformer-based language models to new text domains
Contributions:328 commits, 16 PRs, 349 pushes in 2 years 6 months
pytorchnlptransformersberttransfer-learning
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