Tung-En Wu is a highly skilled Senior Software Engineer at aetherAI 雲象科技 since 2019, where responsibilities include leading the development of an on-prem GPU workload management product and overseeing backend development for a no-code machine learning product. Prior experience includes serving as a Software Engineer at WFC 雯豐資產管理 from 2017 to 2019, where Tung-En built a proprietary low-latency trading system and developed in-house quant research infrastructure. As a Quantitative Researcher at Timeline Capital from 2015 to 2017, Tung-En designed machine-learning-based alphas for trading in the China futures market. Earlier experience as a Research Assistant at National Taiwan University involved co-developing the open-source python package libact. Tung-En holds a Master's degree in Electrical, Electronics and Communications Engineering and a Bachelor of Science in Electrical and Electronics Engineering, both from National Taiwan University.
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