Jinming Li
About Jinming Li
Jinming Li is a Senior Machine Learning Engineer at Sway AI, with a strong background in machine learning, data science, and statistical analysis. He holds multiple degrees, including a Bachelor of Economics in Finance and two Master of Science degrees in Business Analytics and Computer Science.
Work at Sway AI
Currently, Jinming Li serves as a Senior Machine Learning Engineer at Sway AI. He has been in this role since 2022, contributing to the development of advanced machine learning models and algorithms. His work focuses on leveraging data science techniques to enhance AI capabilities within the organization.
Previous Experience at DataRobot
Jinming Li previously worked at DataRobot as a Machine Learning Engineer from 2021 to 2022. During his 11-month tenure, he focused on implementing machine learning solutions, enhancing predictive analytics, and optimizing model performance.
Educational Background
Jinming Li holds a Bachelor of Economics in Finance from China Foreign Affairs University. He furthered his education with a Master of Science in Business Analytics from Texas McCombs School of Business. Additionally, he earned a Master of Science in Computer Science with a focus on Machine Learning from Georgia Institute of Technology.
Expertise in Machine Learning and Data Science
Jinming Li specializes in reinforcement learning and deep neural networks, with a strong emphasis on data science and computer algorithms. He possesses expertise in statistical analysis, optimization algorithms, and Bayesian models. His technical skills include proficiency in machine learning tools such as TensorFlow, PyTorch, Hugging Face, and Scikit-learn.
Professional Experience in Data Science
Prior to his current role, Jinming Li worked as a Data Scientist at Duke Energy Corporation from 2019 to 2021, where he applied data science techniques to solve complex problems. He also gained experience as a Research Data Analyst at Harvard University in 2017 and as a Data Scientist Intern at Electronic Arts (EA) from 2018 to 2019.