Alexander Irpan
Research Scientist at Google
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolAlexander Irpan is a research scientist based in Berkeley with 13 years of software and ML experience, blending traditional machine learning foundations with cutting-edge deep learning research. A UC Berkeley CS & Math graduate and Google Brain Residency alum, he now applies neural networks to robot manipulation and explores reinforcement learning and transfer learning at Robotics@Google. His background includes product-focused internships at Facebook, Robinhood, and Khan Academy, giving him practical engineering chops across frontend, backend, and infrastructure. Notably, he transitioned from improving developer tooling and webapps to publishing and applying research-grade models in real-world robotic systems, demonstrating both experimental rigor and production awareness.
13 years of coding experience
1 year of employment as a software developer
Computer Science, Computer Science at University of California, BerkeleyBachelor of Science (BS), Mathematics and Computer Science, Bachelor of Science (BS), Mathematics and Computer Science at UC Berkeley
Github Skills (27)
react10
nextjs9
gatsby9
gatsbyjs9
visualization7
latex7
python7
katex6
tensorflow5
mathematics5
javascript5
numpy4
math4
scientific-computing4
django3
Programming languages (5)
Github contributions (5)
alexirpan/rubik_research
Feb 2016 - Jun 2016
Contributions:152 commits, 43 pushes, 11 branches in 4 months
alexirpan/alexirpan.github.io
Aug 2015 - Feb 2023
Repo backing personal website
Contributions:1351 commits, 718 pushes, 167 branches in 7 years 7 months
gatsbyreactnextjs
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