Biography

My interests primarily focus on machine learning systems, large-scale ranking, and applied AI. I am currently a Machine Learning Engineer at Meta, working on Creative Ranking in Core Ads Growth.

Before that, I completed my Master of AI Engineering at Carnegie Mellon University. I enjoy building AI-powered systems for real-world problems. Previously, I worked with Jionglong Su on RL for portfolio optimization. I have also worked at Meta and Tencent, working across ranking, ads delivery, and AI systems.

Recently, I have been spending more time on the systems side of AI so I can build applications that are not only intelligent, but also reliable, scalable, and useful in production.

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News

[2025/02] Joined Meta as a Machine Learning Engineer on Creative Ranking, Core Ads Growth.
[2024/05] Started my Software Engineer internship at Meta on Creative Delivery, Core Ads Growth.
[2023/06] Our paper on interpretable stochastic reinforcement learning for portfolio optimization appeared in Applied Intelligence.

Education

Carnegie Mellon University Aug 2023 - May 2025

MS, AI Engineering, Electrical and Computer Engineering

University of Liverpool Sep 2019 - Jul 2023

BS, Computer Science

Industry Experience

Meta Feb 2025 - Present

Machine Learning Engineer, Creative Ranking, Core Ads Growth

Building {format, content, cohort} ranking models.
Optimizing large-scale ad delivery infrastructure.

Meta May 2024 - Aug 2024

Software Engineer Intern, Machine Learning, Creative Delivery, Core Ads Growth

Worked on multimodal LLM-driven audience targeting in early-stage delivery systems.

Tencent Jun 2022 - Oct 2022

Machine Learning R&D Intern, Game AI

Worked on the PUBG game AI agent.
Focused on making RL-driven behavior more human-like through supervised learning and reinforcement learning methods.

Research Experience

Xi'an Jiaotong-Liverpool University Jan 2021 - Aug 2022

Research Assistant

Worked with Jionglong Su on RL-based portfolio optimization.
Co-authored a paper on APIN for portfolio optimization [paper].

Publications

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]

Gallery

I would like to press the shutter a few more times before the AIGC era really arrives. Sony A7s3, 24-105/4, Zeiss 55/1.8, DJI Mini 3 Pro.