Caleb Lu
Machine Learning Engineer at Pinterest
Mountain View, California, United States
Summary
🤩
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 (119)
scalafx10
python10
http10
vector-database10
pydantic10
llama-index10
chatgpt10
ai-agent10
llmops10
generative-ai10
ai10
fine-tuning10
html10
gemini10
application10
Programming languages (16)
Github contributions (5)
piotrm0/piotrm0.github.io
Mar 2015 - Jun 2025
Contributions:147 pushes, 1 branch in 10 years 5 months
cmu-transparency/cmu-transparency.github.io
Dec 2016 - Jan 2020
Contributions:72 pushes, 1 branch in 3 years 1 month
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