Mahsa Shakeri
Research Engineer at Meta
Redmond, Washington, United States
Summary
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Senior🎓
Top SchoolMahsa Shakeri is a research engineer with 9 years of experience applying machine learning and big-data techniques to problems spanning medical imaging, real-time object detection, and time-series anomaly detection. Based in Redmond, she currently contributes to ML research and engineering at Meta after earlier roles building prediction and detection models at Elekta and research teams at Polytechnique Montréal and Inria. Her work blends deep learning (ResNets, LSTMs) with practical systems integration—shipping plugins for image-guided surgery and real-time detection—showing a rare mix of academic rigor and production-focused engineering. She holds advanced degrees in computer engineering and has a track record of turning complex sensor and trace data into actionable models for forecasting and anomaly detection.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Engineering, Doctor of Philosophy (Ph.D.), Computer Engineering at Université de Montréal - Ecole polytechnique de MontréalMaster's Degree, Computer Engineering, Master's Degree, Computer Engineering at Sharif University of Technology
English, French, PersianGithub contributions (5)
MahsaShk/AD_Classification_VAE
Dec 2018 - Jul 2019
Contributions:40 commits, 36 pushes, 1 branch in 7 months
MahsaShk/ApacheSpark
Jun 2020 - Jul 2020
Contributions:45 pushes, 1 branch in 1 month
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