Meng He
Lead Machine Learning Engineer at Grab
Haidian District, Beijing, China
Summary
🤩
Rockstar🎓
Top SchoolMeng He is a Lead Machine Learning Engineer with nine years of experience building large-scale ML and backend systems across Tencent, Microsoft, and Grab. He has deep expertise in productionizing CTR and fraud-detection models—optimizing billion‑level logs and 80GB models at Tencent and leading fraud-fighting ML at Grab. Comfortable across software and ML stacks, he blends classical algorithms (LR/FM/XGBoost) with engineering rigor from roles in cloud and consumer products. Educated in computer science and bioinformatics, he brings a data-driven, interdisciplinary outlook and a knack for turning high-volume signals into actionable systems. Based in Haidian, Beijing, he seeks roles offering impact, autonomy, and intellectual challenge while retaining a strong operational focus.
10 years of coding experience
11 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Beijing University of Posts and TelecommunicationsMaster's degree Bioinformatics, Master's degree Bioinformatics at Kyoto University
Chinese, English, Japanese
Github Skills (104)
apache-spark10
python10
tengine10
deep-learning10
gpu10
compression10
gpu-acceleration10
r10
statistics10
big-data10
multimodal10
numpy10
ml10
model-compression10
sql10
Programming languages (6)
Github contributions (5)
mpjlu/spark
Aug 2016 - Dec 2017
Contributions:4 PRs, 126 pushes, 40 branches in 1 year 4 months
apachebig-datasparkscalaapache-spark
mpjlu/tensorflow
Nov 2018 - Jun 2020
Computation using data flow graphs for scalable machine learning
Contributions:9 pushes, 1 branch in 1 year 6 months
computationscalabledata-sciencemachine-learninggraphs
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