annabel ng
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Hello! I’m Annabel, an EECS major at UC Berkeley excited about applying machine learning to solve challenging vision and language problems. This past summer, I worked at Autodesk as a machine learning engineering intern, where I developed innovative tools to secure internal Wiki systems and streamline support ticket assignment.
At Berkeley, I’m involved with computer vision research for autonomous F1 cars at ROAR, which is the top US Indy Autonomous Racing team, as well as efficient image encoding research at the Redwood Center. I’m also passionate about improving the accessibility of machine learning education at Machine Learning at Berkeley, where I’ve hosted introductory ML workshops for underrepresented high school students and created content for Udacity and IBM.
On the side, you can find me curating playlists on Spotify, learning new songs on my guitar, or watching Studio Ghibli movies. If any of this interests you, feel free to shoot me an email!
news
May 20, 2024 | Started machine learning engineering internship at Autodesk ![]() |
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Apr 23, 2024 | Published a paper in the 2024 Neuro-Inspired Computational Elements Conference ![]() |
Sep 2, 2023 | Hosted ML@B’s first-ever high school machine learning bootcamp ![]() |