Summary
Vlon Jang is a pragmatic machine learning engineer with 9 years’ experience building and scaling visual algorithms at Kwai (Kuaishou) in Beijing, where he juggles models, data and the company’s appetite for compute. He combines a research master's from the University of Chinese Academy of Sciences and top-5% undergraduate training at Huazhong University of Science & Technology with hands-on production experience dating back to an image-algorithm internship at Kuaishou. Vlon’s work focuses on the practical limits of learning systems—trading off supervision, data scale, model complexity and compute—and he’s known for pushing infrastructure boundaries to get models trained. He’s proud of high-impact production results (and the two machines that didn’t survive his experiments), and he’s equally candid about large-scale data-annotation lessons learned. Beyond engineering, he brings a playful, creative persona to teams—self-styled “Senior Laugh Maker” and “code dancer”—which helps him translate hard technical work into relatable outcomes.
9 years of coding experience
硕士, 计算技术研究所, 硕士, 计算技术研究所 at University of Chinese Academy of Sciences
Huazhong University of Science & Technology, Computer Science, top 5%, Huazhong University of Science & Technology, Computer Science, top 5% at 华中科技大学