Kun Tu
Machine Learning Engineer at Pinterest
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolKun Tu is a Machine Learning Engineer with 11 years of experience building scalable ML systems and research-grade algorithms across industry leaders including Pinterest, Meta, and Apple. He blends a strong software engineering toolkit (Java, Scala, Python, C++, Spark, Cassandra, Kafka) with deep research expertise from a PhD in data science, delivering production fraud-detection, ads engagement, and abuse-prevention platforms at scale. His early academic work advanced tensor factorization and temporal network motif algorithms that improved performance over standard tools, and those research instincts inform pragmatic solutions to large, noisy datasets and data-poisoning threats. At Apple he operationalized large-scale Spark deployments for fraud neutralization; at Meta and Pinterest he continued to bridge cutting-edge AI research with product metrics. Based in Palo Alto, he thrives at the intersection of scalable engineering and principled ML, with a track record of turning complex network- and temporally-structured problems into deployable systems.
10 years of coding experience
16 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Data Science, network, machine learning, Doctor of Philosophy (Ph.D.), Data Science, network, machine learning at University of Massachusetts Amherst
English, Chinese
Github Skills (4)
github10
git10
patch9
subversion8
Programming languages (1)
Github contributions (5)
kuntu/JGraphlet-JMotif
Jan 2018 - Jun 2021
Contributions:60 commits, 64 pushes, 1 branch in 3 years 5 months
kuntu/gl2vec
Nov 2019 - Nov 2019
Contributions:1 push, 1 branch in 1 day
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