Yuwei Qin

Yuwei Qin

Member of Technical Staff @ Anthropic

About

• A results-driven professional with strong can-do attitude to deliver results in cross-disciplinary environments, and passionate about storytelling with track record of presenting at top-tier academic and industrial conferences. • A highly skilled ML/DL expert with expertise in fusing multi-modal sensor signals (time series and images) and adept at modern ML models with a focus on CNN, temporal models and transformers. • Extensive knowledge of mainstream ML accelerators and architecture (GPU/NPU) and software-hardware co-design (quantization, NAS) for efficient edge inference of large ML models with heavy MAC workloads. • Hands-on experience in ASIC design, chip tape-out, test-bench design, testing flow, and chip performance measurements.

Country

United States

City

San Francisco

Industry

Computer Software

Skill

Natural Language Processing (NLP), Large Language Models (LLM), AI Accelerator, inference acceleration, Computer Science, Linux, Git, Deep Learning, Artificial Intelligence (AI), SystemVerilog, PyTorch, Python (Programming Language), Research, Numerical Simulation, Algorithms, Statistics, Data Analysis, Machine Learning, Matlab, Microsoft Office

Experience

Anthropic

Member of Technical Staff

Anthropic

LinkedIn
2025-11 - Present · 11 mos

San Francisco Bay Area

d-Matrix

Senior Staff Software Engineer

d-Matrix

LinkedIn
2023-4 - 2025-10 · 2 yrs 7 mos

Santa Clara, California, United States

Microsoft

Silicon Architect Engineer

Microsoft

LinkedIn
2022-7 - 2023-4 · 10 mos

San Francisco Bay Area

Carnegie Mellon University

Research Assistant

Carnegie Mellon University

LinkedIn
2015-8 - 2022-7 · 7 yrs

United States

Affiliation: Data Storage System Center (DSSC) Research: storage systems and signal detection with machine learning: (1) time-sequence data detection and recovery with deep neural network; (2) understand jitter noise in Heat-Assisted Magnetic Recording through micro-magnetic modeling. Teaching: teaching assistant for both undergraduate and graduate level courses in Dept. ECE: 18-310 Fundamentals of Semiconductor Devices (Spring 2018); 18-715 Physics of Applied Magnetism (Fall 2019)

The University of Hong Kong

Research Assistant

The University of Hong Kong

LinkedIn
2016-6 - 2016-8 · 3 mos

Hong Kong

Machine learning based Method of Moments for parasitic capacitance extractions.

Education

Carnegie Mellon University

Carnegie Mellon University

LinkedIn

Electrical and Computer Engineering

2015 - 2020 · 5 yrs
The University of Hong Kong

The University of Hong Kong

LinkedIn

Electrical, Electronics and Communications Engineering

2011 - 2015 · 4 yrs

Thesis: Electrically Tunable Polarizer using Graphene Nanoribbon.

University of Illinois Urbana-Champaign

University of Illinois Urbana-Champaign

LinkedIn

Electrical and Electronics Engineering, Physics

2013 - 2014 · 1 yr

Yuwei Qin's Contact Information

Email

******@***.com

Phone

(**) *** ****

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