About

Wang Wenqi is a highly experienced Machine Learning Engineer currently working at TikTok, where he is involved in recommendation systems. With a background in Industrial Engineering, Wang has honed his skills in developing algorithms and models that help enhance user experience. Prior to his role at TikTok, Wang worked as a Research Scientist at Facebook, where he contributed to the development of Instagram Core Search Ranking and Ads Ranking. His experience in research and development has given him a deep understanding of the latest trends and techniques in the field of Machine Learning. Wang holds a Doctor of Philosophy (PhD) degree in Industrial Engineering from Purdue University, where he focused on developing optimization algorithms for healthcare systems. He also holds a Bachelor of Science (BS) degree in Physics from Fudan University and a Non-Degree in Engineering from the University of California, Berkeley. With a total of 4.70 years of relevant experience, Wang is proficient in various technologies, including ML, Research Scientist, and Search. He has a strong track record of delivering successful projects and is highly skilled in developing complex algorithms that drive business growth. Wang is a highly motivated individual who is passionate about using his skills to make a positive impact on society. He is constantly seeking new challenges and opportunities to learn and grow in his field. His expertise and experience make him a valuable asset to any organization looking to leverage the power of Machine Learning to drive innovation and growth.