About

Jiankun Liu is an experienced Machine Learning Engineer at Meta with a passion for making positive impacts on people's lives through data science. With over five years of experience, he has honed his skills in predictive modeling, machine learning, natural language processing, deep learning, AWS, Spark, Scala, Python, and SQL. Jiankun's current role at Meta involves developing and implementing machine learning algorithms to improve the user experience and enhance the platform's performance. Prior to this, he worked as a Senior Data Scientist at Optum, where he designed and implemented machine learning and natural language processing applications on national claims, clinical notes, and consumer data. He also served as a Data Scientist at Optum (formerly Advisory Board), where he led the innovation and realization of data science infrastructure and models with Spark, H2O, and AWS. Jiankun's educational background includes a Master of Science (M.S.) in Data Science from the University of Virginia, a Bachelor of Science (B.S.) in Mathematics and Statistics from the University of Maryland, and a Bachelor of Arts (B.A.) in English and Media from the University of International Business and Economics. He also spent a semester as an exchange student at Southern Illinois University, Carbondale, where he studied Journalism. In addition to his technical expertise, Jiankun possesses excellent communication and leadership skills, making him an asset to any team. His proficiency in ML, Data Science, AWS, NLP, SQL, Spark, Deep Learning, Research Scientist, Python, Scala, and infra, combined with his relevant experience of 8.36 years, make him a sought-after professional in the field of data science and machine learning.