Summary
Lei Lin is a Machine Learning Engineer with a PhD and 11 years of experience building production-scale ML systems, currently applying LLMs and advanced ML at Meta after a high-impact tenure in quantitative finance. At Fidelity he led development of a real-time portfolio execution engine that managed $30B monthly, contributed to a trading platform handling $360B in annual equity trades, and delivered tens of millions in annual cost savings through model-driven automation. His expertise spans deep learning, MLOps, model explainability, and ensemble/bootstrapping methods, with a strong academic foundation in transportation systems engineering and applied research roles. Comfortable bridging research and engineering, he repeatedly moves models from prototype to robust, monitored production systems. An underappreciated strength is his background in transportation and systems engineering, which informs his practical approach to complex, high-throughput decision systems.
11 years of coding experience
14 years of employment as a software developer
Master Systems Engineering, Master Systems Engineering at Beijing Jiaotong University
Doctor of Philosophy (PhD) Transportation Systems Engineering, Doctor of Philosophy (PhD) Transportation Systems Engineering at University at Buffalo
English, Chinese