Amina Shabbeer, PhD in

Amina Shabbeer, PhD

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Applied Science Manager at Amazon
📍 San Francisco Bay Area, United States

Amina is an Applied Science Manager at Amazon, leading the Music ML Personalization team. With 15 years of experience in machine learning and a Ph. D. from Rensselaer Polytechnic Institute, she specializes in deep learning-based recommender models and conversational AI. People who have worked with her describe her as "smart" and "hard working".

She is a member of South Park Commons, a community for technologists, and has shown support for women in computing by attending the Grace Hopper Celebration. Her early academic research focused on bioinformatics and developing tools for the analysis of Mycobacterium tuberculosis, indicating a deep-seated interest in applying technology to complex problems.

Unique fact: She holds a patent for an optimization-based approach to load-balancing in cloud-based data warehouses, developed during her time at IBM.

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Experience
17 Years
Current Role
Applied Science Manager
Job Level
Middle
Location
San Francisco Bay Area, United States
Personality Overview

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Priorities

Topics Amina cares about

Recommender Systems
Leads a team at Amazon focused on personalization, using deep learning and multi-armed bandits to build recommender models for millions of music and podcast listeners.
Large Model Training
Actively shares technical articles and insights on parameter-efficient methods like LoRA and tools like Deepspeed for fine-tuning and training large-scale models.
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Career

Work history

8-2024
Applied Science Manager
Amazon
4-2023 - 8-2024
Member
South Park Commons
1-2022 - 2-2023
Manager Applied Science (Machine Learning)
Amazon
10-2015 - 12-2021
Sr. Machine Learning Scientist
Amazon
10-2013 - 10-2015
Staff Software Engineer
IBM
In the press

Media appearances

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Education
2008 - 2013
Doctor of Philosophy (Ph.D.)
Rensselaer Polytechnic Institute
2002 - 2006
Bachelor of Engineering (B.E.)
University of Mumbai
Social presence
in
Behavioral profile

DISC profile (public)

DISC behavioral profile

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