Summary
Shi Wang is a machine learning engineer with nine years of experience applying research-grade modelling to production problems across leading tech companies, including ByteDance, DoorDash, Uber, and bilibili. Trained at MIT and Tsinghua in transportation and systems, Shi brings a strong quantitative background—originally focused on traffic modeling and stochastic optimization—that informs robust, data-driven ML solutions for real-world product and operational challenges. As a former ByteDance research scientist and current ML engineer at bilibili, Shi blends research rigor with product delivery, shipping models that scale in high-throughput environments. Based in Seattle, he pairs cross-domain expertise (transportation, ads/recommendation, logistics) with a proven track record of moving ideas from simulation and papers into deployed systems.
9 years of coding experience
7 years of employment as a software developer
Master of Science - MS Transportation and Highway Engineering, Master of Science - MS Transportation and Highway Engineering at Massachusetts Institute of Technology
Bachelor's degree Civil Engineering (Oriented in Transportation), Bachelor's degree Civil Engineering (Oriented in Transportation) at Tsinghua University
English, Chinese