Natalie Bishay

Machine Learning Software Engineer at Gridspace
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Contact Information
us****@****om
(386) 825-5501
Location
Los Angeles, California, United States, US

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Experience

    • United States
    • Software Development
    • 1 - 100 Employee
    • Machine Learning Software Engineer
      • Sep 2023 - Present

    • United States
    • Higher Education
    • 200 - 300 Employee
    • Introduction to Matrix Methods Course Assistant
      • 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.

    • Convex Optimization Course Assistant
      • 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."

    • United States
    • Software Development
    • 1 - 100 Employee
    • Machine Learning Intern
      • Jun 2022 - Sep 2022

Education

  • Stanford University
    Master of Science - MS, Electrical Engineering
    2021 - 2023
  • University of California, Los Angeles
    Bachelor of Science - BS, Electrical Engineering
    2016 - 2020
  • UCLA Henry Samueli School of Engineering and Applied Science
    Bachelor of Science - BS, Electrical Engineering

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