Experience

Data Science Student Society at UCSD

• United States
• Non-profit Organizations
• 1 - 100 Employee

• Workshop Director

  • Jul 2023 - Present

  As workshop director, I lead a team of 4 in creating and presenting workshops aimed to help students learn core tools and practices for the 2023-2024 school year. For the fall quarter, we have planned workshops on topics involving AWS, Tableau, and backend deployment As workshop director, I lead a team of 4 in creating and presenting workshops aimed to help students learn core tools and practices for the 2023-2024 school year. For the fall quarter, we have planned workshops on topics involving AWS, Tableau, and backend deployment



Intel Corporation

• United States
• Semiconductor Manufacturing
• 700 & Above Employee

• Technical Intern

  • Apr 2022 - Sep 2022

  Member of HPC Patching responsible for: - Server management (security and software updates) in the AMR region - Global patch deployments for Infrastructure and other critical server groups - Global patching report detailing compliance for certain server groups - Machine and deep learning designs for anomaly detection Member of HPC Patching responsible for: - Server management (security and software updates) in the AMR region - Global patch deployments for Infrastructure and other critical server groups - Global patching report detailing compliance for certain server groups - Machine and deep learning designs for anomaly detection



CY Vision

• United States
• Software Development
• 1 - 100 Employee

• Software Engineer Intern

  • Jun 2021 - Sep 2021

  Given a dataset of over 100,000 images, developed three machine learning models to recognize 68 landmarks on the face using different convolutional neural network architectures, loss functions and optimization functions, in a coordinate based output. Debugged and trained an additional model utilizing heatmap based output. Gave presentations on both projects discussing the necessary algorithms for the project and how the algorithms work, along with a Q&A. Given a dataset of over 100,000 images, developed three machine learning models to recognize 68 landmarks on the face using different convolutional neural network architectures, loss functions and optimization functions, in a coordinate based output. Debugged and trained an additional model utilizing heatmap based output. Gave presentations on both projects discussing the necessary algorithms for the project and how the algorithms work, along with a Q&A.