Summary
Andrew Qiu is a machine learning engineer with a decade of experience building production ML systems and applied research at the intersection of recommendation, ads conversion modeling, and computational imaging. Currently at Pinterest he focuses on RoAS optimization and ads conversion models, while maintaining active research roles in DGP and CHAI labs at the University of Toronto where he works on hyperspectral imaging and implicit neural representations for camera forensics. His background spans industry internships (PayPal, Keywords Studios, Game of Apps) and robotics vision work applying monocular depth estimation for assistive prosthesis and locomotion. A strong academic performer (BSc Computer Science, 3.94/4.00, UofT), he blends rigorous signal-processing and computer-vision research with hands-on backend engineering. He’s drawn to exploring ML’s disruptive potential across industries, pairing experimental research insights with production-focused deployment. Based in Old Toronto, he brings both breadth across ML subfields and practical experience shipping features at scale.
10 years of coding experience
1 year of employment as a software developer
Dogwood Diploma, Dogwood Diploma at Richmond Secondary School
IB Diploma, IB Diploma at International Baccalaureate
Bachelor of Science - BS, Computer Science, 3.94/4.00, Bachelor of Science - BS, Computer Science, 3.94/4.00 at University of Toronto