Lei Lin
Software Engineer, Machine Learning at Meta
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolLei 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 UniversityDoctor of Philosophy (PhD) Transportation Systems Engineering, Doctor of Philosophy (PhD) Transportation Systems Engineering at University at Buffalo
English, Chinese
Github Skills (17)
convolutional-neural-networks10
graph9
deep-learning9
survival-analysis4
xtext3
java2
machine-learning2
agent-based-modeling2
ide2
data-science2
dsl2
programming-language2
python2
windows1
linux1
Programming languages (2)
Github contributions (5)
leilin-research/GCGRNN
Oct 2018 - Sep 2020
Graph Convolutional Neural Networks with Data-driven Graph Filter (GCNN-DDGF)
Contributions:106 commits, 92 pushes in 1 year 11 months
convolutional-neural-networksgraph
leilin-research/VTP
Apr 2019 - Mar 2021
Vehicle Trajectory Prediction with Deep Learning Models
Contributions:119 commits, 10 pushes, 9 comments in 1 year 10 months
deep-learning
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