Jenny Y.

Jenny Y. is a software engineer working at Applied Intuition, a company that provides simulation and validation platforms for autonomous vehicles and advanced driver assistance systems (ADAS).12 Based on her LinkedIn profile, here are some key details about Jenny's background and experience:

Education and Research

Jenny studied at Stanford University.2 During her time there, she was involved in several research positions:

• Machine Learning Researcher at Stanford Artificial Intelligence Laboratory (SAIL), working under Professor Fei-Fei Li and Professor Ehsan Adeli2
• Machine Learning Researcher at Stanford University Open Virtual Assistant Lab2
• Machine Learning Researcher at Stanford Machine Learning Group under Professor Andrew Ng, focusing on identifying global causes of deforestation using computer vision2

Professional Experience

Jenny has held several internships and positions in prominent tech companies:

• Software Engineer Intern at Cohere (June 2023 - September 2023)2
• Software Engineer Intern at DeepMind (October 2022 - December 2022)2
• Machine Learning Engineer Intern at Etsy (June 2022 - September 2022)2
• Software Engineer Intern at Stripe (June 2021 - September 2021)2
• Software Engineer Intern at Facebook AI (January 2021 - March 2021)2

Teaching and Instruction

Jenny has experience in teaching and curriculum development:

• Course Assistant for CS238: Decision Making Under Uncertainty at Stanford University (September 2023 - Present)2
• Instructor at Inspirit AI, where she created ML/AI curriculum and taught high school students (September 2020 - July 2022)2

Projects and Achievements

• Developed a process to extract and label bee image data for the Honeybee Preservation Project at Phillips Exeter Academy2
• Won Best Finance Hack at TecHacks for a project called Supporter, which rounds up online purchases to donate to relevant charities2

Jenny's diverse experience in machine learning, software engineering, and research, particularly in AI and computer vision, likely contributes to her current role at Applied Intuition, where she can apply her skills to the development of autonomous vehicle technologies.