Ashkan Aazami
Senior Data Scientist
Redmond, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolAshkan Aazami is a Senior Data Scientist at Microsoft with nine years of industry experience and a strong academic foundation (PhD) in computer science. He specializes in deep learning, machine learning, and large-scale online experimentation—having been a principal contributor to a platform that runs thousands of concurrent A/B tests and a scorecard system for large-scale statistical analysis. Comfortable across the full stack, he designs scalable Web APIs and big data systems using technologies from TensorFlow/PyTorch and MapReduce to Azure, Hadoop, and Cosmos. His background in algorithms, graph theory, and distributed optimization informs pragmatic, efficient solutions for production ML systems. A longtime practitioner of Test Driven Development and agile processes, he blends research rigor from academia with production-grade engineering at Microsoft.
9 years of coding experience
8 years of employment as a software developer
Master of Science (M.Sc.), Master of Science (M.Sc.) at University of Southern CaliforniaPhD, PhD at University of WaterlooBachelor of Engineering (B.Eng.), Summa Cum Laude, Bachelor of Engineering (B.Eng.), Summa Cum Laude at Shahid Beheshti UniversityMaster of Science (M.Sc.), Master of Science (M.Sc.) at Sharif University of Technology
Github Skills (35)
suppression10
noise9
perceptual7
active-learning7
cpp6
perceptual-losses6
immigration6
machine-learning6
reinforcement-learning6
dns5
datasets5
statistics5
python5
vowpal-wabbit4
pytorch4
Programming languages (3)
Github contributions (5)
ashaazami/pandora
Mar 2021 - Mar 2021
Set of helper methods to analyze data and visualize the result easier
Contributions:12 PRs, 22 pushes, 6 branches in 18 days
visualizationdata-analysisanalyze-datavisualizeanalysis
microsoft/MS-Lumos
Jan 2020 - Feb 2020
Tools to compare metrics between datasets, accounting for population differences and invariant features.
Contributions:10 commits, 5 PRs, 6 pushes in 15 days
accountingstatisticsinvariantdifferencesdatasets
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