Chenrui Wang
I am a software engineering graduate student exploring AI‑enabled systems, software architecture, and low‑level systems programming.
About
Currently pursuing my Master of Science in Software Engineering at Carnegie Mellon University, I previously completed my Bachelor of Science in Computer Science degree with High Honor in Research at the University of Rochester. My coursework focuses on ML systems, software architecture, and systems programming, as well as software engineering principles and techniques.
My prior research focuses on non-intrusive workload characterization of large language models (LLMs) using GPU telemetry and cache timing side-channels.
- Currently
- M.S. Software Engineering, Carnegie Mellon University
- Building
- Backend microservices, performance tooling and AI-powered applications
- Based in
- Mountain View, CA
Focus
ML systems and telemetry
Characterizing LLM workloads through GPU telemetry, cache side channels, and deep learning.
Systems programming
Low-level programming, runtime optimization, and heterogeneous computing.
Software architecture
Distributed systems, microservices, and cloud-native infrastructure.
Software engineering
Testing, CI/CD, API design, and engineering practice for AI-enabled systems.
Beyond
Hardware and silicon
Benchmarking Intel AMX on Sapphire Rapids, microarchitectural profiling, and hardware teardowns.
Research papers
New AI and ML work, foundational systems papers, processor architecture and computing history.
Local LLMs
Self-hosting open-weight models, quantization experiments, and efficient local inference runtimes.
Photography
Motorsport, aviation and nature.
