Danny Luo
Machine Learning Engineer at Snap Inc.
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolDanny Luo is a machine learning engineer in New York with nine years of experience building and productionizing ML systems across growth, underwriting, platform, and notifications at companies including Snap, Affirm, and Nextdoor. He blends rigorous math and physics training from the University of Toronto with hands-on experience deploying TensorFlow and XGBoost models on AWS/GCP, and has tackled everything from search relevance to underwriting pipelines. A practiced educator and public speaker, he has taught mathematical methods and linear algebra to hundreds of students and translates complex theory into practical, production-ready solutions. His background includes research-grade data analysis (CERN and galaxy studies) and applied engineering work on blockchain and Spark performance, reflecting a rare mix of theoretical depth and systems-level pragmatism.
10 years of coding experience
6 years of employment as a software developer
Continuing Education, Continuing Education at CourseraBachelor of Science (B.Sc.) Math & Physics, Bachelor of Science (B.Sc.) Math & Physics at University of Toronto
English, Chinese
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (30)
jupyter10
aws10
aws-s310
jupyter-notebook10
spark9
apache-spark9
pyspark9
huggingface8
spark-ec28
sagemaker8
pytorch7
machine-learning7
amazon-sagemaker7
python7
react6
Programming languages (4)
Github contributions (5)
PiercingDan/spark-Jupyter-AWS
Nov 2016 - Nov 2017
A guide on how to set up Jupyter with Pyspark painlessly on AWS EC2 clusters, with S3 I/O support
Contributions:77 commits, 1 PR, 73 pushes in 11 months
awsjupyterpysparksparkjupyter-notebook
PiercingDan/mat245
Aug 2017 - Dec 2017
Contributions:25 commits, 20 pushes in 4 months
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