Summary
Kahlan Gibson is an engineer with 11 years of professional experience combining industry roles at Apple and Microsoft with academic research in computer engineering. She specializes in computer architecture, machine-learning accelerators for ASIC/FPGA, and synthesis/EDA tools, having developed a MASc thesis on adaptive clock management for HLS-generated FPGA circuits. Her background includes hands-on silicon validation, cryogenic computing internships, and building Verilog prototypes of GPU accelerator architectures, demonstrating a strong bridge between research and production hardware. At UBC she designed a Python-based RTL Autograder that became the department’s primary evaluation tool during the pandemic, showing initiative in scalable tooling and education. Based in Vancouver, she blends rigorous academic credentials and top-tier industry experience to deliver performant hardware systems and tooling. Colleagues can expect a detail-oriented engineer who moves fluidly from low-level RTL to system-level architecture and automation.
11 years of coding experience
4 years of employment as a software developer
Master of Applied Science - MASc, Computer Engineering, Master of Applied Science - MASc, Computer Engineering at The University of British Columbia
High School, Rothesay Netherwood School, High School, Rothesay Netherwood School at International Baccalaureate
International Exchange, Computer and Biomedical Engineering, International Exchange, Computer and Biomedical Engineering at University of Glasgow
French