I'm Jacky Hsieh, an Algorithm Engineer with a Master degree in Biomedical Electronics and Bioinformatics from National Taiwan University, specializing in image processing, physiological signal processing, and data processing. At LELTEK, I have been responsible for optimizing advanced image processing algorithms, enhancing signal analysis techniques, and improving data processing workflows, with a strong focus on biomedical applications.In addition to my industry experience, I've contributed to various academic research projects, including developing geometric calibration algorithms for digital tomosynthesis (DTS) to improve imaging accuracy, and utilizing machine learning and natural language processing (NLP) to analyze large datasets for predicting stock market trends. These projects have allowed me to deepen my expertise in handling complex data sets and refining signal and image analysis techniques.Proficient in Python, MATLAB, and C++, I'm always looking for new challenges where I can apply my skills in image processing, signal processing, and data-driven solutions to solve complex problems and drive innovation.