Summary
Spenser Cheung is a Compliance Systems Analyst with nine years of technical and operational experience, blending hands-on machine vision research and systems support with practical compliance delivery at a global bank. He holds an MS in Electrical and Computer Engineering from Northeastern with a concentration in computer vision and machine learning, and has applied those skills in academia and industry—from simulating key-value SSD performance to implementing adaptive image thresholding and noise reduction. At Maybank he coordinates stakeholders and a third-party vendor to deploy AML monitoring, fine-tuning behavior rules and filters to achieve comprehensive SDN detection with minimal false positives. Comfortable moving between research code, MATLAB debugging, and enterprise testing, he brings a rare combination of vision-focused technical depth and disciplined, audit-oriented systems delivery. Based in New Jersey, he’s driven by building practical solutions that translate computer vision and ML ideas into robust, production-ready systems.
9 years of coding experience
High School, High School/Secondary Diplomas and Certificates, 4.1, High School, High School/Secondary Diplomas and Certificates, 4.1 at Ridge High School
Master of Science - MS, Electrical and Computer Engineering (conc: Computer Vision, Machine Learning and Algorithms), Master of Science - MS, Electrical and Computer Engineering (conc: Computer Vision, Machine Learning and Algorithms) at Northeastern University
English, Japanese