Natalie Bishay
Machine Learning Software Engineer at Gridspace- Claim this Profile
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Bio
Experience
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Gridspace
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United States
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Software Development
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1 - 100 Employee
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Machine Learning Software Engineer
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Sep 2023 - Present
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Stanford University School of Engineering
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United States
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Higher Education
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200 - 300 Employee
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Introduction to Matrix Methods Course Assistant
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Apr 2023 - Jun 2023
I had the opportunity to be a course assistant for the introductory applied linear algebra course at Stanford (ENGR 108) alongside Dr. John Duchi. I taught a weekly section, held office hours, helped create homework assignments and exams, and helped undergraduates navigate their paths in and out of the classroom.
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Convex Optimization Course Assistant
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Jan 2023 - Mar 2023
I had the opportunity to be a course assistant alongside Dr. Stephen Boyd for the graduate convex optimization course at Stanford (EE 364A) with an enrollment of over 230 students from backgrounds in finance, engineering, economics, computer science, and more. I held office hours, helped create homework assignments and exams, and received rave reviews, including "Hiring Natalie was the best decision Dr. Boyd made this quarter."
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Gridspace
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United States
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Software Development
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1 - 100 Employee
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Machine Learning Intern
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Jun 2022 - Sep 2022
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Education
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Stanford University
Master of Science - MS, Electrical Engineering -
University of California, Los Angeles
Bachelor of Science - BS, Electrical Engineering -
UCLA Henry Samueli School of Engineering and Applied Science
Bachelor of Science - BS, Electrical Engineering