Summary
Tanvir Heer is a Silicon QA Lead at Apple with a decade of experience across hardware engineering, pre/post-silicon validation, and applied machine learning. He blends deep electrical and computer engineering expertise—MS in Computer Engineering (3.98 GPA) and Applied Data Science training at MIT—with hands-on RTL, FPGA, ATE, and component validation work from Intel to SLAC. At Apple he leads silicon quality efforts, drawing on prior roles designing and validating NAND and other components and a published master’s thesis that underscores his research rigor. He also pursues scientific research into migraine auras, revealing a curiosity for interdisciplinary problems that link engineering, data analysis, and human health. Based in California, he’s known for turning complex silicon and system-level challenges into reliable, production-ready outcomes.
10 years of coding experience
7 years of employment as a software developer
Applied Data Science - Machine Learning and AI, Applied Data Science - Machine Learning and AI at Massachusetts Institute of Technology
University of California Santa Cruz
English