LIU, Shih-Yang
Research Intern at NVIDIA
Hong Kong, China
Summary
🤩
Rockstar🎓
Top SchoolLIU Shih-Yang is a HKUST PhD candidate in Computer Science specializing in model compression and efficient deep learning, with six years of research and industry experience. He has interned at NVIDIA working on efficient reasoning language models and PEFT x compression, collaborating with senior researchers like Xin Dong and Pavlo Molchanov. His background bridges rigorous academic research and applied AI engineering, including a research assistantship at Academia Sinica. Trained also in finance (BBA, First Class Honor), he brings quantitative rigor and business sensibility to ML system design. Based in Hong Kong, he maintains an active research page and contributes to cutting-edge efficiency work that targets real-world deployment constraints. Known for focusing on practical model-size and inference-cost reductions, he aims to make large models more accessible and production-ready.
6 years of coding experience
1 year of employment as a software developer
Taipei Municipal Jianguo High SchoolHong Kong University of Science and Technology (HKUST)
Github Skills (44)
transformers10
pytorch10
python10
machine-learning10
llm10
vision-and-language10
fine-tuning10
adapter10
lora10
language-modeling9
adaptation9
nlp9
speech-recognition8
transformer8
quantization8
Programming languages (5)
Github contributions (5)
seantheplug/Esky
Jan 2020 - Jul 2020
Contributions:74 PRs, 88 pushes, 22 branches in 5 months
seantheplug/comp3111h_project
Sep 2019 - Nov 2019
Contributions:89 PRs, 70 pushes, 26 branches in 2 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.