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Resume

Dong Jun Woun

djwoun@gmail.com | https://www.linkedin.com/in/dong-jun-woun/ | https://github.com/djwoun

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Education

UNIVERSITY OF TENNESSEE, KNOXVILLE

Knoxville, Tennessee

Master of Science in Computer Science

Aug 2024 - May 2026

  • Cumulative GPA: 3.96 | Relevant Coursework: Computer Systems Organization, Reinforcement Learning (Python)
  • Thesis: Design and Evaluation of a Standardized Interface for AMD GPU Performance Metrics.

UNIVERSITY OF TENNESSEE, KNOXVILLE

Knoxville, Tennessee

Bachelor of Science in Computer Science, Minors in Machine Learning & Cyber Security

Aug 2020 - May 2024

  • Cumulative GPA: 4.0 | Dean's List (Fall 2020 - May 2024) | Cook Grand Challenge Honors Program
  • Relevant Coursework: Data Structures and Algorithms (C++), Systems Programming (C), Software Engineering (React, Sass, Python), Intro to Machine Learning (Python), Deep Learning (Python), Software Security, and Network Security

Skills

Language: Bash, Rust, C, C++, Python, HTML, CSS, JavaScript, Sass, TypeScript;

Frameworks & Tools: Linux, Git, Next.js, React, NoSQL, PAPI, MongoDB, NextAuth, Scikit-learn, Panda, LEAP;

Experience

INNOVATIVE COMPUTING LABORATORY

Knoxville, Tennessee

Graduate Research Assistant

Aug 2024 - March 2026

  • Designed and evaluated an AMD GPU performance monitoring interface for the PAPI framework (C).
  • Architected a probe-based runtime mechanism to dynamically discover and validate GPU hardware metrics.
  • Optimized metric retrieval using bounded accessors, achieving near-native overhead (1.009x call-time ratio).
  • Streamlined testing procedure to focus solely on active hardware, boosting efficiency and accuracy (Bash).
  • Added capability to disable automatic features, enhancing flexibility and user control on macOS (Bash).
  • Implemented CUDA statistic qualifiers and a custom StringVector struct to optimize event tables (C).

AMAZON PROJECT KUIPER

Seattle, Washington

Software Development Engineer Intern

May 2025 - Aug 2025

  • Architected an automated HITL CI/CD pipeline for satellite software, accelerating development and eliminating errors.
  • Developed a Python/pytest automation framework for hardware diagnostics, log parsing, and HTML visualization.
  • Provisioned AWS CDK cloud infrastructure and a containerized Docker environment for reproducible hardware testing.
  • Authored an automated code-signing security design with threat models to secure the software supply chain.

OAK RIDGE NATIONAL LABORATORY

Oak Ridge, Tennessee

Software Engineering Intern

May 2023 - August 2023

  • Improved the speed of data classification tasks by 3.5 to 4.5 times by implementing a machine learning algorithm (Support Vector Machine - SVM) on a quantum computer (Python).
  • Leveraged the world's fastest supercomputer to enhance algorithm processing speed by 11.1x, showcasing scalability.
  • Employed efficient software engineering techniques to optimize programs and ensure reliable performance analysis.
  • Authored a research paper on the use of quantum technology in machine learning (https://arxiv.org/abs/2401.12485).

OAK RIDGE NATIONAL LABORATORY

Oak Ridge, Tennessee

Software Engineering Intern

June 2022 - August 2022

  • Formulated a machine learning model (Support Vector Machines) for simulated quantum computers (Python).
  • Trained model on traditional and quantum computers to establish reference benchmarks. (Python, Scikit-learn)
  • Achieved high accuracy rates of 95.8% for the Iris dataset and 94.2% for the Digits dataset on classification tasks.
  • Presented results to a diverse audience through presentations and reports to underscore research impact.

Projects

COMPASSIONATE MINISTRIES WEB APPLICATION

Aug 2023 - May 2024

  • Built a volunteer and event management system to strengthen operational efficiency for a non-profit organization.
  • Implemented a dynamic search component (Next.js), enabling efficient record queries through URL parameters.
  • Engineered view, create, and edit capabilities for volunteer management forms (TypeScript).
  • Integrated NextAuth's Google authentication for secure login, and added authorization checks on specified routes.

HOPFIELD DRONE

Jan 2023 - May 2023

  • Developed a computer vision system (Python), recognizing markers up to 8ft away with up to 20% obstruction.
  • Integrated Hopfield neural network pattern recognition machine learning techniques with image processing.
  • Designed a drone control system for 11 pre-defined movements, including forward, backward, and flip.

VARI (UNIVERSITY OF TENNESSEE HACKATHON)

Nov 2021

  • Awarded Most Market Ready and Best Rookie Hack (78 Competitors).
  • Assembled a web-based class schedule generator to streamline the scheduling process for university students.
  • Constructed a scheduling algorithm, class search functionality, and class selection interface (CSS, HTML, JavaScript).

Organizations

HACK4IMPACT

May 2021 - Present

  • Creating software for non-profit organizations to promote social good throughout the community.
  • Resolving 3-5 issues per sprint, conducting code reviews, and pair programming sessions.
  • Developing REST APIs, frontend components, and user interface features like authentication (TypeScript, MongoDB).
  • Contributed to Raising a Voice, Sustainable Future Center, Compassionate Ministries, and the Maintenance team.