Curriculum Vitae

Academic background, research experience, technical projects, and teaching experience.

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Education

  • Florida International University M.S. in Data Science and Artificial Intelligence
    Expected Graduation: Spring 2027
    GPA: 3.92
  • California State University San Marcos B.S. in Computer Science, Minor in Mathematics
    Graduated: Fall 2023
    GPA: 3.34

Research Experience

  • Software Developer - MOSAIC (Mobile Sensing and Analytics) Lab Florida International University
    Lab Director: Dr. Christian Poellabauer
    Faculty Collaborator: Dr. Shanna Burke
    Oct 2025 - Present

    Design, develop, and test a mobile application for collecting participant-reported data on sleep, treatment, and daily well-being as part of a cancer survivorship research project funded in part by the Florida Cancer Innovation Fund.
    Develop and maintain a web-based administration platform for managing research studies and creating and configuring surveys and activities.
    Design and maintain database infrastructure supporting research study configuration, survey and activity management, and participant data management.
    Implement and maintain software functionality based on requirements provided by the research team and collaborators.
    Software developed is also used by Baptist Health South Florida in clinical surgery-related studies.
  • Undergraduate Researcher - Summer Scholars Program California State University San Marcos
    Research Supervisor: Dr. Ali Ahmadinia
    Jun 2021 - Aug 2021

    Conducted Genentech-sponsored undergraduate research focused on computer vision for low-cost embedded systems.
    Developed and tested YOLOv4 TFLite object detection models using Google Colab.
    Evaluated models on a Coral Development Board, benchmarking inference speed (FPS) and mean Average Precision (mAP).
    Presented research findings at the Summer Scholars Undergraduate Research Program Final Research Showcase.

Research Presentations

  • Object Detection Using Low Cost Embedded Systems
    Summer Scholars Undergraduate Research Program Final Research Showcase, California State University San Marcos, 2021.

Selected Technical Projects

Electric Vehicle Ownership Prediction

Analyzed and visualized electric vehicle adoption across Washington State counties using geospatial and demographic data.
Examined relationships between EV adoption and factors including education, income, and political affiliation.
Explored adoption trends over time and compared patterns across geographic regions.
Developed visualizations to communicate findings and highlight regional trends.

Perceptron and Adaline Models

Implemented and evaluated Perceptron and Adaline neural networks from scratch for vowel classification.
Created a custom training set and three independent test sets to evaluate model performance.
Compared model accuracy using quantitative results, graphs, and tables.

Payphone - AI-Enabled Point-of-Sale System

Led a team of eight in developing a point-of-sale system incorporating artificial intelligence and machine learning for product identification and automated subtotal calculation.
Integrated a database for inventory management across multiple store locations.

Teaching Experience

  • Instructional Student Assistant CSIS Department, California State University San Marcos
    Jan 2022 - Dec 2023

    Supported more than 500 students across courses in introductory programming, data structures, assembly language, digital circuits, and operating systems.
    Clarified advanced computer science concepts, graded assignments and examinations, and collaborated with course instructors.
    Communicated recurring student questions and challenges to instructors to improve course support.
  • STEM Instructor CodeREV Kids
    May 2024 - Aug 2024

    Taught more than 300 students in computer programming, engineering, and 3D modeling.
    Conducted school enrichment sessions focused on circuitry and coding.
  • Lead Coding Instructor Code Ninjas
    Apr 2019 - May 2024

    Taught programming to more than 2,000 students using JavaScript, Lua, C#, and Java.
    Led multi-day coding camps and managed classes of 20 - 30 students.
    Conducted school enrichment sessions covering robotics, drones, and computer programming.

Industry Experience

  • Software Engineer Intern Hunter Industries
    Jun 2023 - Aug 2023

    Developed a minimum viable product for visualizing precise customer information.
    Developed methods for retrieving previously inaccessible data from customer controllers.
    Applied Test Driven Development (TDD), Agile, and Scrum methodologies.
  • Disney College Program - Merchandise Walt Disney World
    Aug 2024 - May 2025

    Operated point-of-sale systems and assisted guests with purchases.
    Managed inventory, restocked merchandise, and maintained organized retail environments.

Technical Skills

Python C++ Java JavaScript Machine Learning Deep Learning Computer Vision Data Structures Linux Git