I am an award winning highly quantitative Product Development Engineer who specializes in transforming raw silicon characterization data into predictable, high-yield products ready for mass production, with direct experience on cutting-edge 3nm and 2nm processes crucial for next-generation AI and ML hardware. My expertise is rooted in applying Statistical Design of Experiments (DOE) and advanced methodologies like Six Sigma directly to post-silicon issues. I leverage deep data analysis to quickly pinpoint and eliminate root causes of complex parametric and functional failures within System-on-Chip (SoC) architectures. Notably, I personally conceptualized and implemented the entire Yield Management System for ARM, a multi-billion dollar entity, delivering a mission-critical infrastructur...
Driving High-Yield Silicon Productization Through Statistical Rigor in SoC Characterization

cchipress.online
Read Article

cchipress.online
Read Article

ccomsol.jp
Read Article

sscholar.google.com
Read Article

sscholar.google.com
Read Article

TTech Magazine
Read Article

SSemiconductor Magazine
Read Article