Summary
Hao Ban is an imaging engineer with a decade of programming experience and eight years focused on camera systems, ISP and computational photography. He has driven end-to-end AI imaging pipelines—from optics optimization and RAW-to-linear RGB models to quantized on-device deployment—currently building production solutions at GLASS Imaging. Previously at Xiaomi he led AWB and low-power ISP efforts, combining color science, fixed-point arithmetic and CI/CD to ship camera features on consumer devices. His research background includes CVPR-accepted work on micro-gesture detection and a master’s in AI, reflecting a strong bridge between academic research and product engineering. Hao’s toolkit spans C++, Python, PyTorch and embedded deployment, and he has hands-on experience tuning algorithms that are already in market devices worldwide. A less obvious strength is his blend of optics understanding with practical model-quantization and chip-aware implementation, enabling real-world imaging performance rather than just academic metrics.
8 years of coding experience
5 years of employment as a software developer
Master's Degree, Artificial Intelligence, 4.24/5.0 - distinction degree, Master's Degree, Artificial Intelligence, 4.24/5.0 - distinction degree at University of Oulu
Master of Science - MS, Data Science, Master of Science - MS, Data Science at Tampere University
Bachelor's Degree, Computer Software Engineering, 3.60/4.0, Bachelor's Degree, Computer Software Engineering, 3.60/4.0 at Xidian University
Chinese, English, Finnish