Quan Liu
Machine Learning Engineer | Deep Learning｜Ex-Quant Researcher | LLM Finetuning & RL | Applied AI Research
- Role
- Machine Learning Engineer at Bloomberg
- Location
- New York, NY, US
- LinkedIn followers
- 500 followers
About Quan Liu
Machine Learning Engineer & Researcher | Ex-Quant ResearcherDeep LearningBridging the gap between advanced mathematical modeling and scalable ML infrastructure.With a background as a Quant Researcher (Strategy & Signals), I bring a rigorous, research-first approach to Engineering. I am currently focused on Large Language Models (LLMs) and Reinforcement Learning, looking to leverage my dual expertise in research methodologies and system optimization to solve complex problems as an Applied Scientist or ML Researcher.
Experience
Machine Learning Engineer
Jul 2024 — Present · NY, US
LLM Evaluation Infra: Architected automated LLM-as-a-judge pipelines to benchmark financial agents, accelerating agent alignment loops.• Training Optimization: Validated Llama-3.1-8B fine-tuning using LoRA and FSDP (Fully Sharded Data Parallel) for efficient, high-performance training.• Production Query Classification: Engineered Few-Shot In-Context Learning pipelines, ensuring consistent, high-precision intent understanding for financial queries.
Education
University of Science and Technology of China
Bachelor’s Degree, Physics
2005 — 2009
University of California, Berkeley
Master’s Degree, Financial Engineering
2015 — 2016
Baylor University
Doctor of Philosophy (Ph.D.), Physics
2009 — 2014
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