Ambarella
Chun-Min Chang is a skilled algorithm engineer specializing in machine learning, currently serving as a Staff Algorithm Engineer at Ambarella Inc. since June 2020, where responsibilities include building software for large language models and designing user-friendly programming tools for SoC platforms. Prior experience includes a role as a Machine Learning Engineer at PicCollage, optimizing deep learning models for mobile applications, and a Research Assistant position at Academia Sinica, where Chun-Min led significant machine learning projects focusing on medical diagnosis and ecological studies. Earlier experience includes an internship at Microsoft, developing action recognition systems on the Azure platform. Educational qualifications comprise a Master's degree in Electrical and Computer Engineering from the University of Wisconsin-Madison and two Master's and Bachelor's degrees in Electrical Engineering from National Taiwan University.
Ambarella
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Ambarella, Inc. is engaged in the development of high-definition (HD), ultra HD video compression, image processing and computer vision solutions. Its products are used in a variety of human and computer vision applications, including security camera, advanced driver assistance (ADAS), electronic mirror, drive recorder, driver/cabin monitoring, autonomous driving, and other robotic applications. Its low-power, high-resolution video compression, image processing, and neural network processors and software enables cameras to extract data from high-resolution video streams. It provides driver assistance systems, smart electronic mirrors, drive recorders and autonomous vehicles. Its CVflow architecture supports a variety of computer vision algorithms, including stereo obstacle detection and terrain mapping technology, and allows customers to differentiate their products by porting their own algorithms and neural networks to its CVflow-based chips.