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Ting Xie
Researcher | GenerativeAI | Deep learning | Data Lake/Warehouse | Streaming | Big Data Platform Designer | NoSQL&Columnar expert | PhD
About
Ting Xie is a highly skilled data engineer currently working at MongoDB. With over 4 years of experience in the field, Ting has a proven track record of designing and implementing complex data systems that are both scalable and efficient. Prior to joining MongoDB, Ting worked as a research scientist at Musical.ai and Style.ai where she was responsible for developing cutting-edge algorithms and models to solve complex problems in the field of artificial intelligence. Ting's work at these companies has been recognized for its innovation and impact on the industry. Ting holds a Bachelor's degree in Information and Communication Engineering from Beijing University of Posts and Telecommunications, as well as a Master's degree in Computer Science from the University at Buffalo. She has also completed coursework at the University of Illinois and the University of Pennsylvania, further expanding her knowledge and expertise in the field. Ting's technical skills include data engineering and research science, with a focus on building and maintaining large-scale data systems. She is proficient in a range of programming languages, including Python, Java, and SQL, and has experience working with a variety of databases and data processing tools. Overall, Ting is a highly skilled and experienced data engineer with a passion for solving complex problems and creating innovative solutions. Her expertise in data engineering and research science, combined with her strong technical skills and education, make her a valuable asset to any organization.
Education Overview
• university at buffalo
• university of illinois urbanachampaign
• university of pennsylvania
• beijing university of posts and telecommunications
• yali high school
Companies Overview
• databricks
• mongodb
• musical.ai
• art.ai
• university at buffalo
Experience Overview
4.6 Years
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