I am a computer science undergraduate student from the Vallejo, California, currently working in the East Bay.
I have professional and research experience in machine learning (ex. deep learning, linear regression) using Jupyter Notebooks, Python, and Power BI as well as Web Application Development using Angular, NodeJS, and Redux.
My extensive background in mathematics (including Calc III, Differential Equations, and Linear Algebra) has allowed me to explore a new side of programming and problem solving in my field.
In December 2018, I joined
School of AI as a Dean of the
San Francisco chapter. Presenting to our members and organizing events has helped to increase my knowledge of frameworks, platforms, research, etc. and allowed me to learn in a community of great minds.
I left the school in 2021, however I continued to attend conferences, hackathons, and Google Developer Events in the area. Click here to see some of my personal projects or
keep scrolling to check out my resume to get a glipse of my machine learning journey!
Improved unsupervised learning algorithms used to categorize optimal spending clusters for major health care provider client
Created multidimensional, interactive data visualizations in Power BI and presented findings to major client stakeholders
Used python to build and test models on messy and sparse datasets
Worked remotely in an Agile SCRUM development environment
Gauged membership demographics in order to provide insight on the political engagement and progress of the climate justice movement
Initiated data migration between CRMs and helped develop data hygiene protocol
Managed data from over 20,000 members and supporters around the Bay Area hub
Educated developers on new Artificial Intelligence technology
Teaching math for machine learning theory (regression, backpropagation, etc.)
Helped organize a worldwide hackathon:
AI in Healthcare
Working with other deans to provide the best learning community environment.
Supported development of a single page app call center for a major healthcare provider
Assisted with unit testing in Angular platform using Jasmine and Karma
Learned to work in Agile development environment setting
Built and trained a machine learning model for the US Military designed to predict coup d'etats in various countries
Collected and cleaned data to be used for training
Used math skills to understand classification process
Presented research biweekly with a Armed Forces representative and the computer science department head
Designed and programmed burn rate tools for major IRAD and government-funded programs
Translated product failure data and trends into interactive database
Installed and calibrated equipment as a crew member in Flight Test
Wrote technical white paper on transmit and receive modules designed for the Multi-Role Electronically Scanned Array (MESA) Surveillance Radar
Computer Science Major, Minor in Mathematics
AS Transfer Degree in Computer Science
Minor in Mechanical Engineering
Predicting home prices based on a variety of home attributes using linear regression
Accentue Internship side project: A small web application to learn ngRX/Redux and PrimeNG for building apps in Angular
iOS Weather App: Uses CLLocationManager() and OpenWeatherMap.org to look up the weather for a user's location