Summary
Yikang Wang is a software tool engineer with 12 years of experience building production-ready systems across automotive, telecom, and mapping domains, currently contributing to Innatera from Utrecht. He holds a Master’s in Artificial Intelligence from Universiteit van Amsterdam and combines strong foundations in Python, C++, Matlab and computer vision with practical AI and self-driving car training (Udacity Nanodegree). His career includes engineering roles at TomTom and Huawei and a master’s thesis at Daimler, showing a pattern of applying research-grade AI to real-world embedded and mapping products. Known for bridging algorithmic design and tooling, he often translates prototypical vision models into maintainable engineering workflows. A detail that sets him apart is his cross-cultural education and work experience spanning China and the Netherlands, which informs pragmatic solutions for international teams.
11 years of coding experience
6 years of employment as a software developer
Bachelor's Degree, Intelligence Science and Technology, Bachelor's Degree, Intelligence Science and Technology at Peking University
Nanodegree Program, Self-Driving Car Engineer, Nanodegree Program, Self-Driving Car Engineer at Udacity
Master’s Degree, Artificial Intelligence, Master’s Degree, Artificial Intelligence at Universiteit van Amsterdam
Chinese, English, German, Dutch