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.
United States
San Francisco
Computer Software
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

Research Assistant
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)
Education
Yuwei Qin's Contact Information
Phone
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