Experience

Pomelo, Inc.
• United States
• Financial Services
• 1 - 100 Employee
• Software Engineer

  • Jul 2023 - Present


Meta

• French Polynesia
• Law Practice
• 1 - 100 Employee

• Technical Program Manager

  • May 2022 - Aug 2022

  Coordinated planning and testing with stakeholders across 7 different teams to increase network and storage security. Adapted to changes in the project, led meetings, organized teams for testing, write progress updates and weekly updates. Coordinated planning and testing with stakeholders across 7 different teams to increase network and storage security. Adapted to changes in the project, led meetings, organized teams for testing, write progress updates and weekly updates.



Google

• United States
• Software Development
• 700 & Above Employee

• Software Engineer

  • Jun 2021 - Sep 2021

  Wrote FlumeJava functions to read, aggregate, compute, and write stats from a database for the Core ML labeling service. Developed a parallel data-processing pipeline design, make informed feature and design decisions with pros and cons. Led an insightful user interview with a client and early user of the feature that our project displays stats on. Added computed statistics to the front-end using Javascript following material design and Google accessibility guidelines. Wrote FlumeJava functions to read, aggregate, compute, and write stats from a database for the Core ML labeling service. Developed a parallel data-processing pipeline design, make informed feature and design decisions with pros and cons. Led an insightful user interview with a client and early user of the feature that our project displays stats on. Added computed statistics to the front-end using Javascript following material design and Google accessibility guidelines.



Massachusetts Institute of Technology

• United States
• Higher Education
• 700 & Above Employee

• Undergraduate Researcher

  • Jun 2020 - Dec 2020

  Wrote image classification machine learning algorithms (CNN, XGBoost, and Random Forest) to assess natural disaster damage and worked with AWS EC2 and Tensorflow, Keras, Pandas, Numpy, Seaborn, and Matplotlib. Wrote image classification machine learning algorithms (CNN, XGBoost, and Random Forest) to assess natural disaster damage and worked with AWS EC2 and Tensorflow, Keras, Pandas, Numpy, Seaborn, and Matplotlib.

• Undergraduate Researcher

  • Sep 2019 - Dec 2019

  Space Situational Awareness UROP (Undergraduate Research Opportunities Program) Worked with MIT’s Space Systems Laboratory, used artificial intelligence, analyzed satellite data, and diagnosed strange or unexpected orbit behaviors. Space Situational Awareness UROP (Undergraduate Research Opportunities Program) Worked with MIT’s Space Systems Laboratory, used artificial intelligence, analyzed satellite data, and diagnosed strange or unexpected orbit behaviors.



CodeDay

• Education Administration Programs

• Hackathon Staff

  • Jan 2018 - May 2019

  Beginning months before the event, volunteers for the Code Day LA hackathon work together to search for a venue, find sponsors, promote the event and prepare day-of activities and food. During the hackathon, tasks range from signing in attendees to helping fellow coders to hosting programming workshops. I have led Intro to Coding and JavaScript workshops. Beginning months before the event, volunteers for the Code Day LA hackathon work together to search for a venue, find sponsors, promote the event and prepare day-of activities and food. During the hackathon, tasks range from signing in attendees to helping fellow coders to hosting programming workshops. I have led Intro to Coding and JavaScript workshops.