Alicia Q
Software Engineer at Meta
New York, New York, United States
Summary
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Senior🎓
Top SchoolAlicia Q is a software engineer with eight years of experience building AI and data-driven systems across finance and cloud platforms, currently contributing to Reality Labs AI infrastructure at Meta. She has a strong foundation in statistics, machine learning, and empirical data processing, honed through roles at AWS AI Platform, Cerberus Capital, and Trepp. Her background in quantitative methods and applied mathematics (Baruch College and Higher School of Economics) complements hands-on engineering, enabling her to move models from research to production. Comfortable with data visualization and coding, she focuses on scalable AI infra and platform tooling that supports large-scale experimentation. Notably, she pairs industrial-grade engineering at hyperscalers with prior experience deploying ML in financial services, giving her a rare blend of production rigor and domain insight.
8 years of coding experience
6 years of employment as a software developer
Master's degree Quantitative Methods and Modeling, Master's degree Quantitative Methods and Modeling at Baruch CollegeMaster's degree Applied Mathematics and Informatics - Machine Learning Engineering, Master's degree Applied Mathematics and Informatics - Machine Learning Engineering at Higher School of EconomicsProgramming languages (1)
Github contributions (5)
YaqianQi/Courses
Sep 2019 - Jun 2021
Contributions:308 commits, 325 pushes, 1 branch in 1 year 9 months
YaqianQi/TimeSeriesAnalysis
Nov 2018 - Mar 2020
Contributions:14 commits, 10 pushes, 1 branch in 1 year 4 months
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