Summary
Stephen Yang is a robotics-focused software engineer and graduate research student at the University of Toronto with nine years of hands-on experience spanning computational pathology, FPGA/IP development, and embedded hardware. He blends applied research—authoring a data-centric transfer learning paper and building scalable Flask/Celery pipelines for whole-slide images—with industry-grade RTL development at Intel on Agilex and HBM IPs. Comfortable across software and hardware stacks, he has moved LAMP services into Docker, scripted toolchains in Tcl/Perl, and debugged timing and functional issues using commercial simulators. Based in Toronto, he brings a rare mix of microelectronics IP experience and large-scale data processing for medical imaging, signaling an aptitude for projects that bridge control systems, hardware design, and machine learning.
9 years of coding experience
2 years of employment as a software developer
Math 200 - Calculus 3 (Dual Enrollment/Access Studies), Math 200 - Calculus 3 (Dual Enrollment/Access Studies) at The University of British Columbia
Masters of Applied Science - MASc, Mechanical Engineering, Masters of Applied Science - MASc, Mechanical Engineering at University of Toronto
St. George's School
Chinese, English