Experience

UC Berkeley IEEE Student Branch

• United States
• IT Services and IT Consulting
• 1 - 100 Employee

• VP of Communications

  • May 2021 - Present

  As the current VP of Communications at UC Berkeley IEEE, I am in charge of upholding the infrastructure of our organization through our newsletter and social media platforms as well as communicating opportunities for advancing technology for humanity.

• Marketing Director

  • May 2020 - May 2021

  - Graphically designing apparel and merchandise for upper division EE and CS classes - Managing all of Berkeley IEEE’s social media, newsletter, blog, and recruitment



Codebase

• United States
• Software Development
• 1 - 100 Employee

• Project Manager

  • May 2021 - Present

  Currently overseeing a team of 6 developers creating a new full-stack admin portal for Aurora Solar in React.js with Okta authentication and Ruby backend, earning $15k for the UC Berkeley Codebase organization

• Software Developer

  • Jan 2020 - May 2021

  Codebase is a UC Berkeley software development club that creates web applications for various industry clients. Through Codebase, I have had the pleasure of working on several projects thus far, such as building a full-stack interactive calendar for the staff and students of several UC Berkeley libraries, as well as developing an interactive Drools rule creation application for Nutanix. I will serve as a Codebase Project Manager during Fall 2021 for an exciting new project!



KAUST (King Abdullah University of Science and Technology)

• Saudi Arabia
• Higher Education
• 700 & Above Employee

• Remote Research Intern

  • Jun 2021 - Jul 2021

  - Implemented the paper "Fourier Feature Let Networks Learn High Frequency Functions in Low Dimensional Domains" using Python and JAX library - Trained the network on 50% of the input image and tested it on the other 50% - Utilized the loss function, network size, and learning rate specified in the paper - Implemented the paper "Fourier Feature Let Networks Learn High Frequency Functions in Low Dimensional Domains" using Python and JAX library - Trained the network on 50% of the input image and tested it on the other 50% - Utilized the loss function, network size, and learning rate specified in the paper



Kelly Klee Private Insurance

• United States
• Insurance
• 1 - 100 Employee

• Information Technology Intern

  • Jul 2017 - May 2019

  Wrote a program to filter leads based on insurance requirements; Collaborated with the CTO in creating a Client Center using Java; Worked on integrating third party systems’ data into Kelly Klee’s data structure; Interned for a few hours per week/month throughout two years. Wrote a program to filter leads based on insurance requirements; Collaborated with the CTO in creating a Client Center using Java; Worked on integrating third party systems’ data into Kelly Klee’s data structure; Interned for a few hours per week/month throughout two years.