Summary
Inom Mirzaev is a Principal Machine Learning Engineer based in San Jose with 10 years of experience building production ML systems for recommendation, NLP, and large-scale inference. He combines a PhD in applied mathematics with hands-on expertise in Python, TensorFlow/Keras, PySpark, Docker and cloud platforms (GCP/AWS) to move models from research to cost-efficient production—at Twitter he cut per-tweet inference costs by 90% and scaled multilingual topic classification. A former top-5 finisher in the 2018 Data Science Bowl and silver medalist at the 2009 International Mathematics Olympiad, he brings both algorithmic rigor and competitive problem-solving instincts to product work. He’s led cross-team initiatives that increased A/B test velocity and improved recommendation coverage, and has built multi-tenant training pipelines serving millions of users. Fluent in five languages, he blends strong technical leadership with an ability to collaborate across diverse engineering and research teams.
10 years of coding experience
4 years of employment as a software developer
BS, Mathematics, 3.75/4.00, BS, Mathematics, 3.75/4.00 at Middle East Technical University
PhD, Applied Math, 3.98/4.00, PhD, Applied Math, 3.98/4.00 at University of Colorado Boulder
High School, High School at Lyceum For Gifted Students
English, Tajik, Russian, Turkish, Uzbek