During my university years, I participated in the International English Speech Society, challenging myself to speak in English in public settings to improve my fluency. I also joined the Mathematical Information Society to further my interest in programming and mathematics.
Next on my master's stage, I focused on computer vision research, applying cutting-edge AI methods to various tasks, including object detection for dash cams. I participated in an object detection competition organized by ITRI and advanced to the semifinals. I also worked on image restoration techniques to handle overexposed images, took part in research exchanges with GIGABYTE, and contributed to facial recognition applications.
At Realtek Semiconductor, I gained experience in IC development processes that were new to me during my master's studies. I also learned the challenges of transitioning algorithms from the research stage to practical implementation and how to solve them step by step to meet requirements.
Then driven by innovation at Realtek Semiconductor, I leveraged Python and C/C++ to enhance AI algorithms, notably improving computation speed for low-power applications. My collaborative skills shone through cross-team projects and customer support, showcasing my ability to deliver results and adapt to technological trends.
User interface development for drones and video streaming research.
Face recognition research and issues analysis.
Packaged the facial recognition application into an API for internal colleagues to use.
Python
C/C
Pytorch/Tensorflow
Computer Vision
A member of Sponsor team at 2018 PyCon, who is a passionate Python lover, and always learn new trend and exchange with others.
During preparation, I helps to find the possible sponsor who may support PyCon and make this spectacular event colorful and special.