anpark
Beijing, China
Summary
🤩
RockstarMachine Learning Engineer based in Beijing with a decade of experience building deep learning, ranking (LTR), and recommendation systems. Skilled in designing tech frameworks and architectures that bridge research models and production services, with a strong focus on recommender pipelines. Comfortable moving between model development and operational concerns, ensuring scalable inference and maintainable code. Though primarily grounded in ML engineering, he also brings system-level thinking from working across model lifecycle and platform integrations. Known for pragmatic delivery: translating complex algorithms into reliable, high-throughput features that improve user-facing relevance.
10 years of coding experience
Github Skills (63)
pytorch10
spark10
distributed-training10
python10
data-mining10
mxnet10
mpi10
machine-learning10
ml10
keras10
deep-learning10
knowledge-graph10
tensorflow10
speech10
deep-neural-networks10
Programming languages (3)
Github contributions (5)
PaddlePaddle/epep
Aug 2019 - Jul 2020
Easy & Effective Application Framework for PaddlePaddle
Contributions:1 release, 28 commits, 8 PRs in 10 months
paddlepaddledeep-learningpaddle-framepaddle-quickstartpaddle-nccl-multi-gpu
anpark/models
Aug 2019 - Feb 2020
Model configurations
Contributions:12 pushes in 5 months
configurationsconfigurationyaml
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