Mengxue Zhang is a research scientist and PhD-trained computer scientist with 11 years of experience building and evaluating machine learning systems, currently focused on LLM evaluation, reward-model training, and scalable annotation pipelines at Anuttacon. Her work spans academia and industry, including a recent NVIDIA internship where she expanded transformer context windows from 4k to 32k for MapGPT and explored positional embeddings for map and trajectory modeling. She contributes to open-source front-end frameworks like Alibaba’s Rax—implementing cross-platform font and icon features—bringing a rare combination of deep ML research and practical software engineering. Based in Amherst, MA, she blends rigorous experimental design from her PhD with production-minded training and data-format innovations that improve instruction following and generation quality.
11 years of coding experience
Virginia Tech
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Massachusetts Amherst
Master's degree, Computer Science, Master's degree, Computer Science at Washington University in St. Louis
🐰 Rax is a progressive framework for building universal application. https://rax.js.org
Role in this project:
Front-end Developer
Contributions:19 commits, 2 PRs, 3 pushes in 5 months
Contributions summary:Mengxue contributed to the rax project by adding and modifying fontface and iconfont functionality. They implemented and reworked fontface features for both web and weex platforms. Their work involved modifications to the rax-components package, specifically the IconFont component, and updates to the web-rax-framework and weex-rax-framework packages.
Contributions:16 commits, 15 pushes, 1 branch in 10 months
jsreactjavascriptreduxtypescript
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