Yijia Shao
Palo Alto, California, United States
Summary
🤩
Rockstar🎓
Top SchoolYijia Shao is a PhD candidate in Computer Science at Stanford and a software engineer with six years of experience across research and industry, including internships at Microsoft and Google focused on data, knowledge, and TensorFlow Lite. Based in Palo Alto, Yijia combines deep academic training with practical systems work, contributing back-end fixes and model integrations to an LLM-powered knowledge curation project that supports Claude, Gemini, Bing, and DuckDuckGo search. Their contributions emphasize pragmatic dependency management and cross-model compatibility—skills that help bridge cutting-edge research models and production tooling. Previous roles show a pattern of tackling ML infrastructure and knowledge systems, while their public website provides deeper technical context. Colleagues would describe Yijia as detail-oriented and effective at corralling complex third-party model APIs into reliable developer examples.
5 years of coding experience
Bachelor of Science - BS, Data Science, Yuanpei College, Bachelor of Science - BS, Data Science, Yuanpei College at Peking UniversityDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Stanford University
Github Skills (5)
dnspy10
large-language-models10
python10
api9
apim9
Programming languages (7)
Github contributions (5)
stanford-oval/storm
Apr 2024 - Jan 2025
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:2 releases, 68 reviews, 63 PRs in 9 months
Contributions summary:Yijia primarily contributed to the project by fixing dependencies, updating code to support the Anthropic ClaudeModel, and adding example scripts for the same. Their work included removing unnecessary package dependencies and correcting code to ensure proper functionality of the ClaudeModel. The user also made adjustments to example scripts and updated files to support the BingSearch and Gemini Model as well as DuckDuckGo search.
agentic-ragdeep-researchemnlp2024knowledge-curationlarge-language-models
shaoyijia/shaoyijia.github.io
Aug 2022 - Oct 2023
A beautiful, simple, clean, and responsive Jekyll theme for academics
Contributions:42 pushes in 1 year 2 months
responsive-designresponsive-jekyll-themeacademicscleanjekyll
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