Summary
Che Hung is a research-focused software engineer and master's candidate in Computer Science at Bowling Green State University with a decade of hands-on experience spanning research assistance, web development, and IT analysis. He has implemented core machine learning and clustering algorithms such as Perceptron, backpropagation, and K-means, and is actively pursuing a transition into ML roles after graduation. With a strong academic record (3.9 GPAs in Computer Science, Statistics, and Actuarial Science) he combines quantitative rigor with practical engineering from internships and industry work. Based in Bowling Green, Ohio, he brings a blend of research curiosity and product-minded development, often exploring intersections between game development and machine learning. An understated strength is his cross-disciplinary foundation—statistics and actuarial training—that sharpens his model evaluation and data-driven decisions.
10 years of coding experience
Master's degree, Computer Science, Master's degree, Computer Science at Bowling Green State University
Actuarial Science, 3.9, Actuarial Science, 3.9 at East Los Angeles College