Summary
Michael K is a software engineer with eight years of experience building backend systems and performance tooling, currently at Microsoft after multiple internships and co-op roles. He brings strong polyglot programming skills (Java, C/C++, Go, Python) and hands-on experience developing REST microservices, automated performance monitors, and ML image-preprocessing pipelines. His work includes improving mammogram classifier accuracy through augmentation and hyperparameter tuning and building production-focused stress-test and metrics-reporting tools. A high-achieving Carleton Computer Science graduate (11.33/12.0 CGPA), he combines academic rigor with practical delivery in Agile teams and a genuine interest in machine learning. Notably, he has shifted between research-grade ML projects and production engineering, making him adept at taking prototypes toward scalable implementations.
8 years of coding experience
1 year of employment as a software developer
Bachelor’s Degree, Computer Science, 11.33/12.0 CGPA, Bachelor’s Degree, Computer Science, 11.33/12.0 CGPA at Carleton University
90, 90 at Earl of March Secondary School
English, Chinese, Korean