Hieu Ethan Doan

University of Texas at San Antonio · (210)-243-4395 · ethandoan54321@gmail.com
Computer Science & AI Portfolio

Undergraduate (Expected May 2025):
I am a senior at The University of Texas at San Antonio, majoring in Computer Science with a track in Cyber Operations. My primary interests lie in artificial intelligence and machine learning, where I have developed projects specializing in image and pattern recognition. My work involves designing and optimizing deep learning models to classify complex real-world datasets, incorporating techniques such as attention mechanisms and data augmentation to enhance performance.

Beyond academics, I serve as the president of the San Antonio branch of Epic Movement, where I lead initiatives focused on community building and professional development.

Graduate Goals:
I have been accepted into the Master's Program in Cybersecurity, Technology, and Policy at the University of Texas at Dallas, and plan to start pursuing my degree in the term Fall 2025.

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Experience

Network Engineer Aide | (On-site) | Fort Sam Houston, San Antonio, TX

Radiance Technologies

  • Engaged in 5G-focused research, deployment, and comprehensive documentation efforts in support of Department of Defense (DoD) initiatives, ensuring alignment with advanced telecommunications standards and secure communication protocols.
  • Gained experience with Agile frameworks (Scrum, Jira, Kanban, Scrumban, and XP), leveraging adaptability to drive efficient and collaborative project management and software development.
  • Researched and implemented 5G cellular network simulations using VMware virtualization, successfully deploying two iterations to validate network performance, scalability, and security in controlled environments.
  • Supported the management, testing, and maintenance of DoD Cellular on Light Truck (COLTs) systems, ensuring secure and reliable mobile communication for mission-critical operations.
  • Provided support for field demonstrations showcasing 5G connectivity and emerging technologies.
    • July 2022 - Nov 2024

    President/Ministry Team Leader

    Epic Movement UTSA
    • Personally led and drove a membership increase of over 800%, growing the organization from 6 to over 60 active members within two years through strategic recruitment and engagement initiatives.
    • Led and grew a team of 12 officers, delegating responsibilities effectively to ensure seamless execution of events and programs.
    • Developed and implemented long-term strategic plans for organizational growth, aligning with the mission of Epic Movement to reach and transform lives.
    • Organized and coordinated over 60 campus events, increasing visibility and fostering a sense of community among members.
    • Personally facilitated leadership development workshops, empowering members to take on leadership roles within the organization.
    • Managed the organization's yearly budget, ensuring financial sustainability and responsible allocation of resources.
    • Collaborated with university administration and other student organizations to promote diversity and inclusion on campus.
    • Initiated and strengthened collaboration with the UT Austin Epic Movement, co-hosting joint events to build connections and foster inter-campus community.
    August 2022 - Present

    Education

    University of Texas at Dallas

    Master of Science
    Major: Cybersecurity, Technology, and Policy

    GPA: N/A

    Relevant Coursework: N/A

    August 2025 - May 2027

    University of Texas at San Antonio

    Bachelor of Science
    Major: Computer Science - Cyber Operations Track

    GPA: 3.23

    Relevant Coursework: Software Engineering, Analysis of Algorithms, Application Programming, Systems Programming, Database Systems, Computer Organization, Computer Architecture, Web Technologies, Artificial Intelligence, Deep Learning, Computer Networks, Cyber Operations, Operating Systems, Cloud Computing

    August 2021 - May 2025

    Brandeis High School

    Graduation: Honors

    GPA: 3.71

    August 2017 - May 2021

    Projects

    My Personal Website

    My Personal Website

    I designed and customized this website by leveraging pre-existing HTML, CSS, and JavaScript templates, tailoring and enhancing them to meet my specific needs and vision. Deployed using GitHub.

    HTML CSS JavaScript
    Project 2

    Southwest Airlines Database Replica

    Co-Developed a robust SQL-based database system for airline operations, providing insights into staffing dynamics and improving resource allocation. Created complex queries, views, and triggers to track employee roles across flight schedules, facilitating efficient planning and decision-making.

    MySQL Python
    Project 2

    Foodie Online shopping system

    Contributed to the front-end development of an online shopping system by designing and implementing a responsive, intuitive user interface that enables seamless account registration, product browsing, and shopping cart management. Integrated dynamic features such as real-time tax calculations, discount code applications, and comprehensive order summaries, while collaborating with back-end teams to ensure cohesive integration and a consistent, engaging user experience.

    Python HTML/CSS JavaScript
    Project 2

    MinMax Alpha/Beta ChessBot Project

    Developed an AI-driven chess engine using Python, implementing a MinMax algorithm with Alpha-Beta pruning to optimize move evaluation and decision-making. Designed and integrated custom game logic for advanced chess rules, including castling, en passant, and pawn promotion. Built a local web-based interface using Flask, JavaScript, HTML, and CSS, enabling intuitive gameplay and seamless interaction between the AI and human players. Ensured efficient performance and clean code architecture, making the project a strong demonstration of full-stack development and AI implementation.

    Python JavaScript Flask HTML CSS Custom AI
    Project 2

    Phishing URL Detection AI Project

    Developed an advanced AI-driven system to classify phishing URLs with high accuracy using Python and state-of-the-art machine learning techniques. Engineered a comprehensive feature extraction pipeline that computes over 29 features from each URL—including address bar characteristics (e.g., URL length, redirection patterns, and suspicious token detection), domain-based metrics (e.g., domain entropy, subdomain complexity), and WHOIS-based attributes (with caching to mitigate rate-limiting issues). Leveraged ensemble and deep learning models with Scikit-Learn and TensorFlow to accurately differentiate malicious URLs from benign ones, achieving robust performance while minimizing false negatives. Integrated the system into a scalable, Flask-based web application deployed on AWS, ensuring real-time detection and streamlined user interaction—demonstrating full-stack development, advanced feature engineering, and effective AI implementation.

    Python Scikit-Learn Flask Pandas Cybersecurity

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