Summary
Kyle Robinson is a machine learning engineer and researcher with nine years of experience building and researching ML systems, currently driving applied research at VoyagerX in Seoul. He holds a thesis-based Master of Mathematics in Computer Science from the University of Waterloo and a top-of-class HBSc from Lakehead University, reflecting strong academic rigor alongside practical impact. His background spans graduate research, instructional roles, and industry internships (including an offered Google ML position rescinded due to COVID-19), evidencing both technical depth and adaptability. Kyle has contributed to award-winning academic work (Best Paper at BDTA 2018) and has a track record of moving research into real-world projects through university labs and startup contracts. Colleagues describe him as a researcher who codes—comfortable from prototyping models to integrating solutions in production contexts. Based in Seoul, he brings a global perspective and a habit of turning nuanced research insights into pragmatic engineering outcomes.
9 years of coding experience
3 years of employment as a software developer
Hammarskjold High School
Honors Bachelor of Science (HBSc), Computer Science, First in class, Honors Bachelor of Science (HBSc), Computer Science, First in class at Lakehead University
Master of Mathematics (Thesis), Computer Science, 91/100, Master of Mathematics (Thesis), Computer Science, 91/100 at University of Waterloo
English