Sasha (Alexandra) Harrison (She/Her)
About Sasha (Alexandra) Harrison (She/Her)
Sasha (Alexandra) Harrison is a Senior Machine Learning Engineer with expertise in Automated Speech Recognition, Natural Language Processing, and Computer Vision. She has worked at notable companies including Google, Microsoft, and Scale AI, and holds both a Bachelor's and Master's degree from Stanford University.
Current Role at Scale AI
Sasha Harrison serves as a Senior Machine Learning Engineer at Scale AI, a position she has held since 2022. In this role, she focuses on various machine learning applications, particularly in Automated Speech Recognition (ASR) and Algorithmic Fairness. Her work involves scenario-based model evaluation and content understanding use cases, contributing to the advancement of machine learning technologies within the organization.
Previous Experience at Google
Sasha gained valuable experience as an Engineering Practicum Intern at Google in 2017. During her three-month internship in New York City, she engaged in projects that enhanced her technical skills and understanding of engineering practices within a leading technology company.
Educational Background at Stanford University
Sasha completed her Bachelor's Degree in Mathematical and Computational Sciences at Stanford University. She furthered her education at the same institution, earning a Master's degree in Computer Science. Additionally, she studied Feminist, Gender, and Sexuality Studies, showcasing her diverse academic interests.
Professional Experience in Machine Learning
Sasha has accumulated extensive experience in the field of machine learning. Before her current role at Scale AI, she worked as a Machine Learning Engineer at the same company from 2020 to 2022. She has also held positions at Microsoft as a Program Management Intern, Branch International as a Data Science Intern, and served as a Course Assistant at Stanford University.
Internship Experience in the Tech Industry
Sasha has completed several internships that provided her with practical experience in the tech industry. In 2016, she interned at Wishbone.org and Comcast Ventures for one month each in the San Francisco Bay Area. In 2019, she worked as a Data Science Intern at Branch International for three months, further expanding her skill set in data science and machine learning.