Dan Fan
Software Engineer at Facebook
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolDan Fan is a software engineer based in Seattle with 11 years of experience and a 7+ year focus on infrastructure and big data systems. He has built and operated high-throughput streaming and CDC pipelines at scale—designing multi-tenant pub/sub systems that handled terabytes of change-log traffic and automated onboarding to cut setup time from 45 minutes to 2. His expertise spans AWS services (DynamoDB, Kinesis/Firehose), Kafka, Elasticsearch, Docker, and Kubernetes, combined with hands-on optimization of large Hadoop/Vertica pipelines. At Lyft and AppNexus he led cross-team incident investigations, instrumentation of shard-level metrics, and cost/performance improvements that materially reduced latency and spend. As a co-founder of RakeAI while still at Facebook, he pairs operational rigor with product-minded entrepreneurship. His background in statistics (MS from Columbia) informs a data-driven approach to designing resilient, observable infrastructure.
11 years of coding experience
9 years of employment as a software developer
Master of Science (MS), Mathematics and Statistics, Master of Science (MS), Mathematics and Statistics at Columbia University in the City of New YorkBachelor of Business Administration (B.B.A.), Finance, General, Bachelor of Business Administration (B.B.A.), Finance, General at Hong Kong Baptist University
Chinese, English, English
Github Skills (50)
python10
machine-learning10
deep-learning10
dynamodb10
gpu10
numpy9
tensorflow9
amazon9
neural-network9
amazon-dynamodb9
gpu-acceleration9
data-structures9
autograd8
aws8
acceleration8
Programming languages (3)
Github contributions (5)
fandan-nyc/leetcode
Oct 2015 - Nov 2022
algorithms
Contributions:11 reviews, 664 commits, 9 PRs in 7 years 2 months
data-structures
fandan-nyc/c_practice
Apr 2016 - Oct 2019
Contributions:2 PRs, 56 pushes, 4 branches in 3 years 7 months
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