Summary
Hsiang-huang Wu is a Senior Software Engineer with a PhD in Computer Engineering and nine years of industry experience building machine learning and AI systems for distributed, embedded, and mobile platforms. He has driven kernel-level AI framework work at Microsoft and previously led CUDA, HVX SIMD and OpenGL implementations for real-time vision tasks at OPPO, combining low-level optimization with model training and dataset engineering. His background includes productizing ML for synthesis optimization at Synopsys and scalable big-data and MapReduce research at Academia Sinica, reflecting a blend of production engineering and academic rigor. Comfortable across the stack—from FPGA/DSP and embedded Jetson deployments to cloud data pipelines and Airflow—he frequently turns algorithmic ideas into efficient, hardware-aware implementations. An author of multiple papers and open-source implementations (including an AlexNet TensorFlow repo), he brings a research-driven pragmatic approach to shipping performant ML systems.
9 years of coding experience
17 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Engineering, Doctor of Philosophy (PhD) Computer Engineering at University of Maryland
MS and BS Electrical Engineering, MS and BS Electrical Engineering at National Tsing Hua University
English, Chinese