Maryam Majzoubi
Software Engineer at Google
New York City Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolMaryam Majzoubi is a software engineer and PhD candidate at NYU with nine years of experience building scalable ML systems and algorithms for large-scale classification, contextual bandits, and continual learning. She blends academic rigor with production engineering—contributing to Vowpal Wabbit and implementing TensorFlow APIs for embedding compression during a Google internship. Now at Google as a software engineer, she focuses on turning online learning research into efficient, deployable solutions. Her background spans research collaborations at Microsoft and graduate work at Penn State, reflecting strengths in both theory and applied systems. Notably, she brings a rare combination of hands-on open-source contributions and deep expertise in online modular approaches for high-dimensional, real-time decision problems.
9 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Electrical Engineering, Master of Science - MS, Electrical Engineering at Penn State UniversityDoctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at New York UniversityBachelor of Science (B.S.), Electrical Engineering, Bachelor of Science (B.S.), Electrical Engineering at Sharif University of Technology
Github Skills (5)
active-learning9
cpp9
machine-learning8
reinforcement-learning8
vowpal-wabbit6
Programming languages (1)
Github contributions (5)
mmajzoubi/vowpal_wabbit
Jul 2019 - Sep 2020
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
Contributions:47 PRs, 133 pushes, 2 branches in 1 year 2 months
machine-learningvowpal-wabbit
mmajzoubi/workshop
Sep 2017 - Jun 2019
Contributions:3 pushes, 1 branch in 1 year 9 months
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