Summary
Feng Lin is a research-driven SDET and test leader with a decade of experience across AI, cloud services, IoT, and security domains, currently pursuing a research-based Master’s in Software Engineering at Concordia while interning as a Support Researcher at Huawei Canada. He has led teams of up to 16 engineers, built Python and Java test frameworks, and applied ISO 25000 standards to mitigate release risk for large-scale products used by hundreds of millions. Feng has published 16 testing-related patents and developed novel detection algorithms—using SSIM, YOLO, and iForest—for jank and abnormal-version performance detection in mobile and video apps. Comfortable bridging research and production, he combines hands-on automation, performance and security testing with data-driven anomaly detection to improve QA capabilities. Willing to relocate to the GTA, Vancouver, or Ottawa, he brings pragmatic leadership and a knack for turning research prototypes into operational test systems.
10 years of coding experience
5 years of employment as a software developer
Master, Applied Science Software Engineering, 4.15/4.30, Master, Applied Science Software Engineering, 4.15/4.30 at Concordia University
Bachelor of Engineering - BE, Information Security, 3.7/4.0, Bachelor of Engineering - BE, Information Security, 3.7/4.0 at Xidian University
English, Chinese