Yiang Zheng
About Yiang Zheng
Yiang Zheng is a Software Engineer specializing in machine learning engineering at Liftoff Mobile since 2022. He has a background in applied data science and deep learning, with previous roles at Klaviyo, Nightfall AI, and deeplearning.ai.
Work at Liftoff Mobile
Yiang Zheng has been employed as a Software Engineer (MLE) at Liftoff Mobile since 2022. In this role, he focuses on machine learning engineering, contributing to the development and optimization of mobile marketing solutions. His work involves applying machine learning techniques to enhance user engagement and improve marketing strategies.
Previous Experience in Machine Learning
Prior to his current position, Yiang Zheng worked at Klaviyo as a Machine Learning Engineer for five months in 2021. His role involved developing machine learning models to support email marketing automation. Additionally, he served as an Applied Data Scientist at Nightfall AI from 2018 to 2021, where he utilized data science techniques to address security challenges in data management.
Educational Background
Yiang Zheng holds a Master’s Degree in Electrical and Computer Engineering from Embry-Riddle Aeronautical University. His academic training provided him with a solid foundation in engineering principles and advanced technologies, which he has applied throughout his career in machine learning and data science.
Experience in Deep Learning and Data Science
Yiang Zheng began his career in machine learning as a Deep Learning Research Assistant at Embry-Riddle Aeronautical University in 2018. He contributed to research projects for six months, focusing on computer vision applications. He also gained practical experience by participating in Kaggle competitions from 2017 to 2018, where he engaged with real-world machine learning challenges.
Interests and Focus Areas
Yiang Zheng has a strong interest in discussing practical machine learning problems, emphasizing the importance of real-world applications of machine learning. He enjoys working with data, which reflects his commitment to data-driven decision-making and analysis in his professional endeavors.