Hangsheng Wang is a Director of Data Engineering and seasoned systems engineer with a decade-plus career bridging processor architectural research and production infrastructure. He brings deep expertise in performance, power and thermal modeling across system, architectural and micro-architectural levels, having developed ESL tools and two architecture description languages for cycle-accurate processor modeling. Equally comfortable in C/C++ research code and leading engineering teams, he has driven low-power NoC design and production-grade infrastructure at companies from Freescale to Tower Research Capital and Learnta. Based in New Jersey, he pairs a Princeton PhD and Tsinghua engineering background with a practical focus on trustworthy AI for cybersecurity, reflecting a rare blend of academic rigor and applied systems delivery.
9 years of coding experience
5 years of employment as a software developer
MS Microelectronics, MS Microelectronics at Tsinghua University
phD Electrical Engineering, phD Electrical Engineering at Princeton University
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