Justin Xu
Member Of Technical Staff at Augment Code
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolJustin Xu is a full-stack software engineer with nine years of experience who blends a strong statistical and machine learning background from Stanford with production engineering across experimentation and AI applications. He has led Klaviyo’s experiments and optimization efforts—defining roadmaps, shipping global holdouts and self-optimizing features, mentoring engineers, and even serving as interim manager—before moving into AI-focused work at Augment Code. Comfortable spanning data science and systems, he has tackled predictive deep-learning research on medical ECGs, search ranking at Facebook, and pricing elasticity in quantitative roles, giving him a rare mix of research rigor and product-driven delivery. Based in Mountain View, he writes patents and technical blogs and is known for turning experimental models into scalable, customer-facing systems.
9 years of coding experience
6 years of employment as a software developer
Master of Science - MS Statistics, Master of Science - MS Statistics at Stanford University
Github Skills (20)
modulo9
react8
supabase8
satisfiability8
sat8
tailwindcss8
trpc7
nextjs7
sat-solver7
smt7
theorem-proving6
theorem6
neovim-plugin5
cvc45
neovim5
Programming languages (5)
Github contributions (5)
justinxu421/recipe_rex
Jan 2021 - Dec 2021
Contributions:57 commits, 53 pushes, 1 branch in 10 months
justinxu421/dotfiles
Oct 2022 - Feb 2023
Contributions:18 commits, 53 pushes, 1 branch in 4 months
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