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BiographyMy work focuses on the systems behind agents: reinforcement learning infrastructure, LLM inference, and production ML serving. I am currently a Machine Learning Engineer at Meta, working on Creative Ranking in Core Ads Growth. Previously, I worked on reinforcement learning for game agents at Tencent, LLM inference research at Carnegie Mellon University, and reinforcement learning for portfolio optimization in earlier research. I am interested in building efficient and reliable systems that make agents practical in production. |
[2025/02] Joined Meta as a Machine Learning Engineer on Creative Ranking, Core Ads Growth.
[2024/08] Wrapped up an exciting summer at Meta, where I worked on multimodal LLM-driven audience targeting in early-stage delivery systems.
[2023/06] Our paper on interpretable stochastic reinforcement learning for portfolio optimization appeared in Applied Intelligence.
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Carnegie Mellon University Aug 2023 - May 2025 MS, AI Engineering, Electrical and Computer Engineering |
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University of Liverpool Sep 2019 - Jul 2023 BS, Computer Science |
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Machine Learning Engineer, Creative Ranking, Core Ads Growth Feb 2025 - Present
Software Engineer Intern, Machine Learning, Creative Delivery, Core Ads Growth May 2024 - Aug 2024
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Tencent Jun 2022 - Oct 2022 Machine Learning R&D Intern, Game AI Research Center
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Infini-AI Lab, Carnegie Mellon University Jul 2024 - Dec 2024 Research Intern, ML Systems
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University of Liverpool Jan 2021 - Aug 2022 Research Intern, Reinforcement Learning
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From deterministic to stochastic: an interpretable stochastic model-free reinforcement learning framework for portfolio optimization Zitao Song, Yining Wang, Pin Qian, Sifan Song, Frans Coenen, Zhengyong Jiang, Jionglong Su. Applied Intelligence, 2023. [paper] |
If a world model eventually emerges, I hope it will contain some of the beauty I have been lucky enough to see. Sony A7s3, 24-105/4, Zeiss 55/1.8, DJI Mini 3 Pro, DJI Mavic 4 Pro