Summary
Chia-hung Mou is a Staff Engineer with 8 years of experience building high-performance embedded and algorithmic solutions, currently applying his expertise at Qualcomm on ultrasonic image processing and ML-driven features. He combines a strong background in signal processing, RF simulation, and kernel/Android driver development with practical mastery of C/C++, Python, MATLAB and frameworks like PyTorch and TensorFlow. Known for shipping memory-efficient algorithms for embedded systems—particularly PSF modeling, background removal, and noise reduction—he bridges theoretical mathematical coherence with mass-production constraints. His career spans wearable heart-rate software, fingerprint sensor SDKs, and RF SIP module design, reflecting a rare blend of hardware-near engineering and applied machine learning. Based in Hsinchu County, Taiwan, he is expanding from classical algorithm design into production-ready ML development, bringing both device-level optimization and research-minded rigor.
8 years of coding experience
10 years of employment as a software developer
Master's degree Electrical Electronics and Communications Engineering, Master's degree Electrical Electronics and Communications Engineering at National Chiao Tung University
Bachelor's degree Physics, Bachelor's degree Physics at National Cheng Kung University