Dongmin Wu is a project leader and versatile engineer with 11 years of experience spanning embedded systems, backend development, and applied machine learning. Currently at Huawei, he blends deep hands-on expertise in C/Linux driver development and embedded platforms with recent work in time-series analysis, unsupervised learning and IoT-focused ML from his master's thesis. A UNIX command-line and Vim enthusiast, he brings pragmatic tooling and automation habits to complex projects and has delivered production firmware, clustering and sequence models (LSTM/CNN) for real-world sensing systems. He has international academic experience across EIT Digital, Aalto and TU Berlin and a track record of shipping components from HAL drivers to Java backend services. Unusually, he pairs low-level hardware insight with data-driven algorithm design, aiming to bridge sensor networks and machine learning in commercial IoT deployments.
11 years of coding experience
3 years of employment as a software developer
EIT Digital Summer School, Big Data Analytics, EIT Digital Summer School, Big Data Analytics at KTH Royal Institute of Technology
Bachelor's degree, Optical Information Science and Technology, top 50%, Bachelor's degree, Optical Information Science and Technology, top 50% at Beijing University of Posts and Telecommunications
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Aalto University
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Technische Universität Berlin
Master's degree, Embedded Systems, 3.95/5.0, Master's degree, Embedded Systems, 3.95/5.0 at EIT Digital Academy
Contributions:18 pushes, 5 branches in 7 years 4 months
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