CV

Education

• M.S. in Computer Science, University of Southern California (USC), 2024–2026 (expected)
  • Researcher at USC Information Sciences Institute (ISI)
  • Advisors: Luca Luceri, Emilio Ferrara
• B.S. in Computer Science & Engineering, Santa Clara University, 2020–2024
  • Minor in Mathematics
  • Graduated Summa Cum Laude
  • Clare Boothe Luce Scholar (2021–2024)
  • Research Advisor: Prof. Yuhong Liu

Work Experience

• Software Engineering Intern — Dell Technologies

  • *Summer 2024

    CI/CD Team & Encryption Team*

  • Automated log parsing and error categorization in CI/CD pipelines using rule-based classification
  • Built dashboards to track deployment failure causes and system recovery times
  • Secured access to HashiCorp Vault and integrated secret management into encrypted pipeline components
• Software Engineering Intern — Dell Technologies

  • *Summer 2023

    Encryption Team*

  • Enhanced key rotation and encrypted storage workflows
  • Hardened cryptographic modules using token-based access protocols
  • Conducted internal audits and assisted with compliance review processes
• Teaching Assistant — Santa Clara University

  • *Winter 2023

    CSCI 10: Introduction to Computer Science*

    • Led Python labs and office hours to support foundational programming

  • *Fall 2022

    CSCI 60: Abstract Data Types and Algorithms*

    • Conducted walkthroughs on graph algorithms and recursion strategies
• Course Grader — Santa Clara University

  • *2021–2023

    Data Structures, Algorithms, Intro to CS, Artificial Intelligence*

  • Graded technical assignments and maintained academic integrity
• Undergraduate Researcher — Santa Clara University

  • *2021–2024

    Trust, Safety, and Disinformation Lab*

  • Published conference research on emoji-based engagement on TikTok
  • Analyzed narrative similarity and coordinated messaging on Telegram

Research Interests

• AI auditing and recommender transparency
• Coordinated influence operations and synthetic media
• Generative misinformation and platform manipulation
• Social computing and computational social science
• Multimodal learning and disinformation forensics

Technical Skills

• Languages: Python, Java, C++, SQL, HTML/CSS
• Tools: Git, Docker, HashiCorp Vault, Jupyter, Bash, VS Code
• Libraries/Frameworks: PyTorch, TensorFlow, scikit-learn, pandas, seaborn
• Areas: Machine learning, network science, NLP, CI/CD, secure infrastructure

Service & Leadership

• Member, Tau Beta Pi (National Engineering Honor Society)
• Member, Phi Beta Kappa and Upsilon Pi Epsilon
• Mentor for undergraduate CS research and STEM outreach