About

Jianhua Huang is a highly skilled and experienced staff machine learning engineer with a strong background in research and development. With over 5 years of relevant experience, he has worked for some of the top companies in the industry and has made significant contributions to the field of machine learning. Currently, Jianhua works as a staff machine learning engineer at Square, where he is responsible for designing and implementing machine learning models and algorithms to improve the company's products and services. Prior to this, he worked for Visa as a staff machine learning scientist and for Apollo as an operations research scientist. Jianhua holds a Bachelor's degree in Computer Science from Shandong University and has completed several advanced courses in machine learning and data science from top institutions such as Georgia Institute of Technology and Purdue University. He is also a graduate of Arizona State University, where he earned a Master's degree in Computer Science. Jianhua's technical expertise lies in the areas of machine learning and research science. He is proficient in a wide range of programming languages, tools, and platforms, including Python, R, TensorFlow, and PyTorch. He has also worked extensively with various machine learning algorithms, such as neural networks, decision trees, and clustering. Jianhua is a highly motivated and results-driven individual who is passionate about using his skills and knowledge to solve complex problems and drive innovation in the field of machine learning. He is a creative thinker and problem solver who is always looking for new and innovative ways to improve his work and the work of his team.