Summary
Michelle Ho is a software engineer with 11 years of experience specializing in Python-driven automation, validation tooling, and SoC/ASIC bring-up for high-performance server platforms. Based in San Jose, she has driven pre-silicon RTL validation on FPGA systems at Intel, building test suites and forensic tools that cut multi-day debug cycles to hours and prevented release of critical bugs to downstream BIOS, KVM, and system validation teams. Her background in ASIC hardware verification at Cisco and electrical engineering foundations (MS from Stanford) give her a rare blend of low-level hardware insight and production-quality software craftsmanship. She consistently focuses on pragmatic automation—intelligent image-difference analyzers, bulk register-loggers, and PCIe transaction parsers—that turn noisy hardware data into actionable debugging signals. Colleagues rely on her for reducing time-to-root-cause and for designing tools that scale across cross-functional engineering workflows.
11 years of coding experience
7 years of employment as a software developer
The University of Arizona
Software Engineering - CyberSecurity Focus, Software Engineering - CyberSecurity Focus at San José State University
Computer and Information Systems Security/Information Assurance, Computer and Information Systems Security/Information Assurance at UCSC Silicon Valley Extension
MS Electrical Engineering, MS Electrical Engineering at Stanford University
English, Chinese