Summary
Yu-fang Chang is a software engineer in the San Francisco Bay Area with 11 years of experience bridging computer vision, machine learning, and systems engineering. Trained at Carnegie Mellon’s Robotics Institute (MS, computer vision) and NTU (BS, electrical engineering), she has transitioned academic research—detecting quality frames for assistive video systems—into industry work at Google and internships at Volkswagen and Intel focused on deep learning, model visualization, and performance-critical kernel work. She combines practical systems-level skills (kernel patches, DMA optimizations) with applied ML expertise (CNNs/RNNs integration for vehicles), making her effective at taking research prototypes toward production. Comfortable across research and production environments, she brings a nuanced perspective from building tools for real-world users, including accessibility-focused assistive systems.
11 years of coding experience
1 year of employment as a software developer
Bachelor of Science (B.S.), Electrical Engineering, Bachelor of Science (B.S.), Electrical Engineering at National Taiwan University
Master of Science (M.S.), Computer Vision, Robotics Institute, Master of Science (M.S.), Computer Vision, Robotics Institute at Carnegie Mellon University
Chinese, English