Caleb Lu
Machine Learning Engineer at Pinterest
Mountain View, California, United States
Summary
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Rockstar🎓
Top SchoolCaleb Lu is a Machine Learning Engineer and PhD candidate in Electrical and Computer Engineering at Carnegie Mellon University with 12 years of experience building and evaluating ML systems, currently focused on measurement modeling at Pinterest. His research bridges security, interpretability, and fairness for deep-learning NLP models, and he has blended academic rigor with industry practice through multiple internships and research roles at Truera, OpenStax, and Kemere Lab. Caleb’s background in cognitive science and ECE (strong GPAs) informs a human-centered approach to model analysis and evaluation. Based in Mountain View, he brings both production-facing ML engineering experience and a researcher's skepticism about model behavior, making him adept at turning theoretical insights into measurable, deployable improvements.
12 years of coding experience
3 years of employment as a software developer
Bachelor’s Degree, Cognitive Science, Major GPA: 3.785, Bachelor’s Degree, Cognitive Science, Major GPA: 3.785 at Rice UniversityDoctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at Carnegie Mellon University
Japanese, German, English, Chinese
Github Skills (152)
interpretation10
scalafx10
http10
vector-database10
deep-learning10
web-development10
javascript10
llmops10
fine-tuning10
html10
evaluation-framework10
gpt10
application10
pytorch10
evaluation10
Programming languages (16)
Github contributions (5)
cmu-transparency/cmu-transparency.github.io
Dec 2016 - Jan 2020
Contributions:72 pushes, 1 branch in 3 years 1 month
piotrm0/website-old
Mar 2015 - Jan 2019
Contributions:23 pushes, 1 branch in 3 years 11 months
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