Yuxuan Cao
Tokenomics Intern at SemiAnalysis
Singapore, Singapore
Summary
👤
Senior🎓
Top SchoolYuxuan Cao is a practical, hands-on Computer Science undergraduate and founder with nine years of experience building AI-driven software and hardware solutions, from automations and RPA to custom deep-learning workstations for government labs. Currently a Tokenomics Intern at SemiAnalysis and an active NTU HPC Club member, he contributes to leading open-source ML projects like Hugging Face Transformers—improving FP16 inference and image pipelines—and holds a Google Professional ML Engineer certification. He has a track record of winning hackathons, securing government tenders through his consultancy Aliencode, and delivering production automation tools at SCDF that earned internal awards. Comfortable across full-stack engineering, hardware, and basic cybersecurity, he also brings bilingual insight into China-related research and practical productization experience running an e-commerce electronics business.
9 years of coding experience
2 years of employment as a software developer
Junior College (Senior High School) H2 Mathematics H2 Computing H2 Physics H2 Economy, Junior College (Senior High School) H2 Mathematics H2 Computing H2 Physics H2 Economy at Hwa Chong InstitutionPrimary School, Primary School at Beijing Chaoyang Foreign Language SchoolPrimary School, Primary School at Yangzheng Primary SchoolBachelor of Computing (Hons) Computer Science with Minor in Business, Bachelor of Computing (Hons) Computer Science with Minor in Business at Nanyang Technological University Singapore
Chinese, English
Stackoverflow
362reputation
18kreached
9answers
15questions
Github Skills (24)
transformers10
pytorch10
python10
apidoc10
back-end-development10
image-processing10
machine-learning10
stable-diffusion10
inference10
webui10
api10
testing9
user-interface9
nlp9
gradio9
Programming languages (13)
Github contributions (5)
huggingface/transformers
Jul 2022 - Jul 2022
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Role in this project:
ML Engineer
ML EngineerContributions:20 reviews, 1 commit, 9 PRs in 1 day
Contributions summary:Yuxuan's contributions primarily focus on improving the image processing and model inference capabilities within the Hugging Face Transformers library. They addressed issues related to data type handling, specifically enabling FP16 inference, and corrected float-out-of-range errors, enhancing the library's performance and precision. Additionally, the user added support for SigLIP training and made updates to various pipelines to support FP16, indicating a focus on improving the model's functionality and usability.
pythonbertspeech-recognitionstate-of-the-artflax
aliencaocao/stable-diffusion-webui
Oct 2022 - Nov 2023
Stable Diffusion web UI
Contributions:18 PRs, 112 pushes, 39 branches in 1 year 1 month
reactdiffusionweb-uistable-diffusion
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