Shuaijun Gao

Machine Learning Engineer at FAIRTIQ

Shuaijun Gao is a Machine Learning Engineer at FAIRTIQ since November 2022, specializing in fraud detection. Prior experience includes a role as a Master Thesis Student at IBM focusing on biology and large language models from March to September 2022, and as a Trading System Developer at G-20 Strategies AG in early 2021. Earlier positions comprised work as a Machine Learning Researcher at SenseTime, developing a financial recommendation system, and a Deep Learning Researcher at 51VR, where 4k-resolution image detection and tracking were the focus. Additionally, Shuaijun served as an Algorithm Developer at Shanghai Songhong Intelligent Automotive Technology Co. Ltd. working on semantic segmentation. Shuaijun completed a Master of Science in Computer Science at ETH Zürich from 2020 to 2022 and a Bachelor of Engineering in Computer Science at Tongji University from 2016 to 2020.

Location

Zürich, Switzerland

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