Sean Aidan O'Toole

858-263-5881 | SchroederSoftwareTX@gmail.com | linkedin.com/in/seanotoole04 | github.com/schroedersoftwaretx

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Education

University of Texas at San Antonio

Bachelor of Science in Computer Science, Minor in Mathematics

Concentration in Data Science and Software Engineering | Aug 2022 - May 2026 | GPA: 3.90

Skills

Languages: Java, Python, C, SQL, JavaScript, PHP, HTML/CSS, R, BASIC, Bash, Kotlin

Developer Tools: AWS, Git, Android Studio

Libraries: TensorFlow, scikit-learn, Matplotlib

Other: German (Intermediate), Spanish (Elementary), Adobe Photoshop and Premiere Pro (2000+ hours)

Experience

  • Database Developer - The Experts Tribe

    San Antonio, TX | May 2025 - August 2025

    • Designed and maintained relational and cloud-hosted databases (PostgreSQL, MySQL, Firebase Firestore).
    • Implemented efficient schema structures and data models for frontend integration and future scaling.
    • Optimized queries and data retrieval processes to reduce latency and improve user experience.
  • Artificial Intelligence Research Assistant - University of Texas at San Antonio

    San Antonio, TX | Oct 2024 - May 2025

    • Utilized Llama to create automated feedback loops for software development tasks.
    • Analyzed and categorized GitHub change requests, contributing to a 60% increase in model accuracy for developer feedback.
    • Developed scripts with BeautifulSoup to extract user comments and change requests from GitHub repositories.
  • College of Science Mentor - UTSA College of Sciences Student Success Center

    San Antonio, TX | Aug 2023 - June 2025

    • Led the Four-Year Plan Committee and initiatives impacting 2,000+ students.
    • Collaborated across departments to host events promoting academic growth and career awareness.
    • Worked with leadership to analyze data trends and improve student engagement, retention, and graduation rates.

Projects

  • Fantasy Football Assistant

    Python, scikit-learn

    • Developed a data-driven fantasy football program to identify undervalued players and improve draft decisions.
    • Designed draft strategy and team composition algorithms with statistical backtesting.
    • Used PCA and LDA for dimensionality reduction, model optimization, and player classification.
  • High-Volume Data Ingestion and Modeling Pipeline

    AWS, PHP, MySQL

    • Designed and implemented a scalable ETL pipeline to process and validate 5M+ records with parallel chunking and multi-process execution.
    • Built a normalized relational schema with indexed lookup tables, reducing storage overhead by 90% and improving upload speed by 400%.
    • Implemented batch insertion with SQL constraint handling for duplicate detection and structured error routing.

Awards and Honors

Positions: ACM Media Officer (2023-2025), RowdyHacks Officer (2023-2025), GWG Scholar (2022-2025)

Certifications: IBM AI Foundations for Business, University of Michigan Generative AI Essentials, Google Data Analytics Professional, Certiport HTML/CSS, Microsoft Fundamentals, Computational Thinking, 652 Cyber Security

Honors: President's Scholarship (5x), Dr. Craig Endowed Scholarship in the Sciences, Scholarship for Computer Scientists Who Don't Run Good, President's List (4x), Dean's List (1x), Honors College Student, Most Outstanding Information Technology Student, Most Outstanding Business and Administration Student, Distinguished Student Athlete