Guangpin Li
About Guangpin Li
Guangpin Li is a Senior Machine Learning Scientist at GIMO Global Interactive Marketing Online Ltd, where he leads the AI-ML department. He has extensive experience in machine learning, programming, and geophysics, having held various positions in notable organizations across the UK and Sweden.
Current Role at GIMO
Guangpin Li serves as a Senior Machine Learning Scientist at GIMO Global Interactive Marketing Online Ltd, a position he has held since 2021. In this role, he leads the AI-ML department, focusing on the development and deployment of machine learning models. His work includes significant projects such as the Personalized Suggestion System and the Automated Processing of Dynamic Data and Model Retraining. His expertise in deploying machine learning models into production using AWS SageMaker is integral to the company's operations.
Previous Experience
Prior to his current role, Guangpin Li worked at GIMO as a Lead Python Developer from 2019 to 2021. His earlier positions include Senior Simulation & Modelling Engineer at Inmarsat from 2017 to 2018, and Principal Geophysicist at PGS from 2007 to 2016. He also held the role of Postdoctoral Researcher at Uppsala University from 1999 to 2000 and was a Research Fellow at The University of Edinburgh from 2001 to 2005. His diverse background spans various roles in machine learning, programming, and geophysics.
Education and Expertise
Guangpin Li's educational background includes extensive research experience, particularly during his time as a Postdoctoral Researcher and Research Fellow. His expertise encompasses machine learning, Python programming, and geophysics. He has developed skills in deploying machine learning models into production, particularly using AWS SageMaker, which enhances his contributions to projects at GIMO.
Key Projects and Contributions
At GIMO, Guangpin Li has contributed to key projects such as the Deposit Method Recommendation and Amount Suggestion. He has also developed a Personalized Suggestion System, which is a central component of the company's offerings. His involvement in the Automated Processing of Dynamic Data and Model Retraining project demonstrates his commitment to advancing machine learning applications within the organization.