About
Academic bio, interests, and links.
I’m Pei-Shuo Wang, a Master’s student in the Institute of Network Engineering at National Yang Ming Chiao Tung University (NYCU). My research interests include efficient large language model (LLM) inference, model compression (e.g., KV-cache compression and low-rank methods), and systems/hardware-aware acceleration.
You can reach me at scott306lr@gmail.com or find me on GitHub / LinkedIn.
Experience
- Teaching Assistant — Edge AI (Dept. of Computer Science) · National Yang Ming Chiao Tung University (NYCU)2024-02-01 — 2025-07-01 · Hsinchu, Taiwan
- Assisted course instruction and lab sessions.
- Supported student projects and debugging.
- Teaching Assistant — XR Camp (Dept. of Computer Science) · National Yang Ming Chiao Tung University (NYCU)2024-02-01 — 2025-07-01 · Hsinchu, Taiwan
- Helped organize workshops and hands-on sessions.
- Provided technical support for teams.
- Software Engineering Intern · Neuchips Inc.2022-07-01 — 2022-09-01 · Hsinchu, Taiwan
- Built automation tests and CI pipeline for edge AI SDK.
- Worked on deployment and performance validation for AI inference workflows.
Education
- M.S., Institute of Network Engineering · National Yang Ming Chiao Tung University (NYCU) · Sep 2023 – Jan 2026 · cGPA 4.3/4.3 (Top 1%)
- B.S., Computer Science · National Yang Ming Chiao Tung University (NYCU) · Sep 2019 – Jun 2023 · cGPA 3.71/4.3, Major 4.04/4.3
Highlights
- Neuchips Inc. · Software Engineering Intern (Jul 2022 – Sep 2022)
- NYCU · Teaching Assistant: Edge AI, XR Camp (Feb 2024 – Jul 2025)
- Phi Tau Phi Honor Society (Top 3% of Master’s graduands)
- Bronze Award, ICPC Asia Taipei Regional 2021 (47/108)