Summary
Wee Jang is an Algorithm Engineer with 11 years of experience building recommendation and ranking systems, currently shaping community and recommendation strategies at Kuaishou in Haidian, Beijing. He is fluent in Java, Scala, Python and C, and leverages strong data structures and algorithms expertise alongside a solid grounding in data mining and mainstream machine learning methods. He has hands-on experience with distributed systems, Hadoop/Spark deployment and operations — including reading Spark source — and practical Linux and shell scripting skills for production environments. Past roles include developing Python-based data pipelines and Celery-backed computation modules, plus large-scale system deployment experience from internships. With a Master’s in Electrical and Electronics Engineering from Beijing Jiaotong University and CET-6 English reading ability, he blends academic rigor with production engineering pragmatism. An under-the-radar strength is his combination of low-level language proficiency and operational experience, enabling him to both optimize algorithms and keep them robust in distributed production.
11 years of coding experience
Bachelor’s Degree, Electrical and Electronics Engineering, 87.9, Bachelor’s Degree, Electrical and Electronics Engineering, 87.9 at Beijing Jiaotong University
English