Young Jang is a camera systems engineer at Qualcomm with two years of documented experience focused on image quality evaluation and camera methodologies. Based in San Diego, he leverages a deep academic foundation from a Ph.D. in Electrical and Computer Engineering at Purdue University to tackle practical imaging challenges in mobile and embedded systems. His work centers on quantifying and improving perceptual image quality, bridging rigorous research techniques with product-driven evaluation frameworks. Although early in his industry tenure, his combination of advanced research training and hands-on camera systems work positions him to contribute to both algorithm development and metrics-driven validation.
2 years of coding experience
Ph.D, Electrical and Computer Engineer, Ph.D, Electrical and Computer Engineer at Purdue University
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
Contributions:6 reviews, 20 PRs, 6 pushes in 4 months
pytorchtechniquesdeep-learningpruningcompression
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