Thomas(Tom) Kong

Meet Thomas Kong, a machine learning and artificial intelligence expert with over three years of experience modeling CNN, LSTM(GRU), and GAN based models. In addition, he is also an accomplished web developer with twelve years of experience in PHP, Python, MySQL, MongoDB, and SQLite. With a Master's degree in Electrical and Electronics Engineering from Stanford University, another Masters in Information Technology from Olivet University, and a Bachelor's degree in Electrical, Electronics, and Communications Engineering also from Zhejiang University, Thomas brings a unique and diverse skillset to the table.

Thomas has significant expertise in computer vision, natural language processing, and deep learning. As a recipient of the 2nd class Prize at the Worldwide Mathematical Contest in Modeling Held by COMAP in 2003-2004, Thomas has been long into math modeling. He has worked on numerous projects like the multi-camera axis for automatic 3D reconstruction, 3D human face model reconstruction from pictures, and a smart optical character recognition project on resumes. His vast experience has also seen him work with organizations like the Optoelectronic Institute of the Chinese Academy of Sciences and Shanghai Jiao Tong University's Artificial Intelligence Laboratory.

Moreover, Thomas is currently an assistant professor at Olivet University, where he teaches courses in machine learning, natural language processing, computer vision, and computer security. Prior to joining Olivet University, Thomas served as CEO at Verecom Corporation and CTO at 33 Universal, where he honed his leadership, strategic planning, and innovation skills.

In summary, Thomas Kong is an accomplished professional with vast experience in machine learning, artificial intelligence, computer vision, natural language processing, and web development.