Javad Azizi

Senior AI Research Engineer at Google DeepMind

California, United States
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Summary

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Senior
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Top School
Javad Azizi is a Senior AI Research Engineer based in California with eight years of experience advancing foundational models, reinforcement learning, and learning-to-rank systems. He holds advanced degrees in ML, operations research and applied mathematics from USC and has combined rigorous theory (bandits, optimization) with production-facing work at Google, DeepMind, Uber, and Amazon. His recent projects span Gemini post-training and on-device GenAI to ranking and best-arm identification algorithms applied in search and recommendation. Javad is skilled at translating statistical rigor and algorithm design into scalable systems, and he has a track record of moving research into product at major platforms. Less obvious: his background in operations research and traveling salesman / simulation optimization informs a practical, optimization-first approach to RL and ranking problems.
code8 years of coding experience
job4 years of employment as a software developer
bookDoctor of Philosophy - PhD ML and Operations Research, Doctor of Philosophy - PhD ML and Operations Research at University of Southern California
bookBachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Sharif University of Technology
languagesEnglish, Persian, Spanish, Turkish
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Github Skills (39)

responsive10
jekyll-theme9
jekyll9
rnn-tensorflow8
integer8
tailwindcss8
java8
liquid8
mixed-integer-programming7
static-site-generator7
github-pages7
sql7
generative-adversarial-network7
database7
sqlite7

Programming languages (5)

JuliaJavaHTMLJupyter NotebookPython

Github contributions (5)

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Azizimj/azizimj.github.io

Mar 2022 - Jun 2024

Contributions:31 pushes in 2 years 3 months
Azizimj/RNN-GAN

Mar 2019 - Feb 2020

RNN GAN
Contributions:15 commits, 3 pushes in 11 months
rnndeep-learninggrad-camgenerative-adversarial-networkgan
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