Experience

NASA Ames Research Center — Researcher

Intelligent Systems Division, Prognostics and Health Management
Moffett Field, CA | Jan. 2023 – Aug. 2023

Developed software in the area of systems health and conducted research in prognostics and diagnostics. Proposed and refactored the software package’s data structures to center around pandas DataFrames.

NASA Ames Research Center — Systems Analyst

SGT Inc. Contractor
Moffett Field, CA | Jan. 2014 – Jun. 2014

Developed a cloud-based telemetry tool for live mission data acquisition and visualization. Researched and proposed a framework using commercial off-the-shelf tools for processing live mission data. Published and presented a research paper at a technical conference.

NASA Ames Research Center — Intern

Metis Inc.
Moffett Field, CA | Dec. 2011 – Jan. 2014

Created a user interface for an artificial intelligence algorithm that evolves 3-dimensional forms, added more secure encryption, and refactored the software for a web-based application. The NASA Mars Laboratory Antenna’s shape was created using this 3D rendering tool.

Education

San José State University

M.S., Artificial Intelligence
San José, CA | May 2026

San José State University

B.S., Applied and Computational Mathematics; Computer Science
San José, CA | Spring 2020 – Fall 2022

Skills

Statistical and visual analysis of data, cloud computing, object-oriented programming, machine learning, data science, artificial intelligence, and modeling.

Machine Learning & Modeling: TensorFlow, PyTorch, and custom ML algorithms.

Programming Languages: Ruby, PHP, C++, Java, JavaScript, HTML, MATLAB, R, and Python.

Tools: PyCharm, Sublime Text, RStudio, Eclipse, IntelliJ, Visual Studio Code, NetBeans, and Google Colab.

Awards

• NASA Software of the Year Award — 2024
• PHM Society Website Chair — 2015
• NASA Group Achievement Award — 2014

Projects

NASA ProgPy

Description:
The NASA Prognostics Python Packages (ProgPy) are a set of open-source Python packages supporting research and development of prognostics and health management and predictive maintenance tools. They implement architectures and common functionality of prognostics, supporting researchers and practitioners. (NASA Software of the Year Award 2024)

Contribution | Jan. 2023 – Ongoing
ProgPy, prior to version 1.5, relied on a custom data container that behaved as a dictionary with the use of a matrix and list as its data structure, and a results class to then organize and view an experiment’s resulting data. I demonstrated that pandas DataFrames would provide more functionality and efficiency with the project if used as a data structure. I have been refactoring ProgPy for pandas use and contributed to the release of ProgPy 1.5. Version 1.5 introduced preliminary usage of DataFrames, with full integration planned for version 1.6.

NASA — Fuel Cell Test Bed

Prognostics and Diagnostics, Sharp Lab

Description:
In 2018, the Prognostics and Diagnostics group planned to build a fuel cell test bed. Data collected from the fuel cell test bed would be used to create a fuel cell model to aid in future research. The project was put on hold due to the pandemic.

Contribution | Jun. 2023 – Aug. 30, 2023
Volunteered to assemble the fuel cell test bed and went through the process of taking inventory and consulting an expert to check the design. The design used fittings that had been found to be unreliable in fuel cell use; resulting contamination could have rendered collected data useless and damaged the fuel cell’s platinum anode and cathode. I updated the fittings, design diagrams, documentation, and created new documentation on the correct procedure for assembly.

Volunteerism

Warrior Canine Connection

Menlo Park, CA | 2018 – Current
Volunteer — transporting dogs, cleaning the facility, and public outreach.