Summary
Jason Tan is a search algorithm engineer at NetEase Cloud Music with 14 years of software experience, combining production search engineering with postgraduate study in machine learning and natural language processing at Harbin Institute of Technology, Shenzhen. He has end-to-end development experience across design, testing and deployment, and earlier taught and mentored freshmen in C programming, reflecting a practical grounding in computer science education. At NetEase he focuses on search engineering, applying ML/NLP techniques to improve discovery and recommendation in large-scale music platforms. He is actively seeking roles that offer project-based learning and mentoring, valuing fast-paced environments that accelerate professional growth. Colleagues would describe him as versatile and hands-on, able to translate academic ML/NLP research into production search solutions.
14 years of coding experience
Bachelor of Science (BS), computer science and technology, Bachelor of Science (BS), computer science and technology at Wenzhou University
Bachelor of Science (BS), Computer Science and Technology, Senior, Bachelor of Science (BS), Computer Science and Technology, Senior at Hangzhou Dianzi University
postgraduate, computer science and technology, 15/118, postgraduate, computer science and technology, 15/118 at Harbin Institute of Technology at ShenZhen
English