Work experience

• Project Specialist
   Information Technology Services (ITS), Syracuse University | Syracuse, New York, United States
  08/2026 – Present
  • Supporting technology initiatives and project within Syracuse University Information Technology Services.
  • Collaborating with university stakeholders to advance technology solutions that support teaching, learning, research, and administrative operations.
• Machine Learning Research Collaborator
   University of Texas at El Paso | Texas, United States
  01/2024 – 08/2026
  • Applied machine learning methods to counselor education and mental health research, contributing to 2 peer-reviewed publications, 1 manuscript under review, and 1 manuscript in preparation.
  • Contributed to studies on AI/ML literacy in counselor education and training.
• Graduate Research Assistant
   Security and Intelligence Lab (Advisor: Dr. Aritran Piplai), University of Texas at El Paso | Texas, United States
  09/2024 – 12/2025
  • Designed and implemented machine learning and meta-learning pipelines to process, model, and analyze large datasets across cybersecurity and healthcare domains.
  • Highlighted Projects:
    • Building Generalizable Models for Malware Detection using Meta-Learning (IEEE BigData 2024).
    • Meta-Reinforcement Learning for Cybersecurity: Developed a model-agnostic meta-learning-based attacker in dynamic simulation environments.
    • Healthcare RAG Pipeline: Built an end-to-end data workflow, including data preprocessing, feature engineering, model training, and evaluation, for the Llama-8B-based system to support families and caregivers of Alzheimer’s patients.
• Mike Loya Graduate Research Fellow (Concurrent role)
   Mike Loya Center for Innovation and Commerce, University of Texas at El Paso | Texas, United States
  01/2025 – 12/2025
  • Managed the center’s website using Cascade CMS, including content updates and structural revisions.
  • Supported entrepreneurship programs and events (e.g., Miners Pitch Competition, Entrepreneur Talks), identified external grant opportunities, and collaborated with the Office of Technology Commercialization and faculty inventors to support innovation and commercialization.
• IT Manager
   Hyundai Engineering & Construction (E&C) | Seoul, South Korea
  06/2021 – 05/2022
  • Managed enterprise-wide HR and business systems, coordinating system upgrades, data integrations, and platform alignment across multiple business units.
  • Selected for the HR Task Force Team for IT expertise; evaluated HR systems and data structures and identified optimal enterprise-wide solutions for improved efficiency and scalability.
  • Collaborated with three Hyundai AutoEver engineering teams to implement solutions with strategic goals.
• Full-Stack Developer & Project Manager
   Hyundai AutoEver Corp. | Seoul, South Korea
  01/2016 – 06/2021
  • Served as system administrator for six enterprise systems at Hyundai E&C, providing global technical support and managing C#/.NET web applications, databases, and SQL data extraction for HR, legal, and academic systems.
  • Managed end-to-end HR system operations, including employee data management, attendance and leave tracking, payroll processing, recruitment modules, and performance evaluation systems.
  • Designed, developed, and supported dashboards and reports from Oracle and SQL Server databases to enable operational reporting, audits, and data-informed decision making across business units.
  • Oversaw enterprise academic and training systems used by the Hyundai E&C Technical Training Center, ensuring smooth operation for employee training and course management in an academic-style institutional environment.
  • Enterprise Systems Managed:
    • Human Resource System — ASP.NET (.NET Framework), C#, Oracle Database
    • Payroll System — ASP.NET (.NET Framework), C#, Oracle Database
    • Recruiting System — Classic ASP, VBScript, Microsoft SQL Server
    • Legal Affairs System — ASP.NET (.NET Framework), C#, Microsoft SQL Server
    • Corporate Social Responsibility System — Classic ASP, VBScript, Microsoft SQL Server
    • Academic Affairs System (Hyundai Technical Education Institute) — Classic ASP, VBScript, Microsoft SQL Server
  • Major projects:
    • Year-End Tax Reporting System Upgrade (12/2017 – 03/2018, 12/2018 – 03/2019, 12/2019 – 03/2020)
    • Legal System Upgrade (06/2019 – 10/2019)
    • Academic Affairs System (Hyundai E&C Technical Training Center) Upgrade (12/2017 – 03/2018)
    • Legal Systems Integration (06/2016 – 12/2016)
• Intern
   Hyundai AutoEver Corp. | Seoul, South Korea
  07/2015 – 08/2015
  • Improved the Knowledge Management System by adding expert recommendation features for knowledge sharing.
• Sergeant (US 8th Army Korean Augmentation To the United States Army)
   Information Management Office, HHC, U.S. Army Garrison Yongsan | Seoul, South Korea
  03/2011 – 12/2012
  • Served as an Information Technology Specialist (MOS: 25B) at the Information Management Office (IMO), managing U.S. Army Systems in USAG-Yongsan, South Korea, and led a team of 8 soldiers as a Squad Leader.

Education

• M.S. in Computer Science
   University of Texas at El Paso, Texas, United States
  December 2025

• B.S. in Computer Engineering
   Hongik University, Seoul, South Korea
  Feburary 2016

Technical Skills

• Project & System Support: Project management, Enterprise content management (Cascade CMS)
• Data & Analytics: SQL-based data extraction, Data pipeline design, DBMS (Oracle, MS SQL Server)
• Development: Python, C#, .NET, ASP.NET, JavaScript, Full-stack development
• AI & Machine Learning: PyTorch, Scikit-Learn, RAG, Prompt engineering, Model fine-tuning, LLMs, MCP, Deep Learning, Meta Learning

Publications

Enhancing Counselor Education with Artificial Intelligence Chatbots: Attitudes toward Artificial Intelligence and Counseling Skill Self-Efficacy

Han, E., Hsu, P. L., & Shin, J. (2026). Enhancing Counselor Education With Artificial Intelligence Chatbots: Attitudes Toward Artificial Intelligence and Counseling Skill Self‐Efficacy. Journal of Counseling & Development. https://doi.org/10.1002/jcad.70058

Social Determinants and Adverse Childhood Experiences as Predictors of Cannabis Use: A Machine Learning Analysis of 2023–2024 BRFSS Data

Adverse Childhood Experiences and Social Determinants of Mental Health as Predictors of Adult Depression: A Machine Learning Approach

Han, E., & Shin, J. (2026). Adverse Childhood Experiences and Social Determinants of Mental Health as Predictors of Adult Depression: A Machine Learning Approach. Journal of Counseling & Development. https://doi.org/10.1002/jcad.70029

Evaluating Generalization Mechanisms in Autonomous Cyber Attack Agents

Lukáš, O., Shin, J., Rivas, E., Forni, D., Rigaki, M., Catania, C., Piplai, A., Kiekintveld, C., & Garcia, S. (2026). Evaluating Generalization Mechanisms in Autonomous Cyber Attack Agents. arXiv preprint arXiv:2603.10041. https://doi.org/10.48550/arXiv.2603.10041

Understanding Artificial Intelligence and Machine Learning: Foundational Concepts for Counselor Education

Han, E. & Shin, J. (2025). Understanding Artificial Intelligence and Machine Learning: Foundational Concepts for Counselor Education. Journal of Counselor Preparation and Supervision, 19(3), 1-15. http://dx.doi.org/10.70013/7b5l47yn

Towards Building Generalizable Models for Malware Detection

Shin, J., Rivas, E., Lucio, D., Piplai, A., & Elluri, L. (2024, December). Towards Building Generalizable Models for Malware Detection. In 2024 IEEE International Conference on Big Data (BigData) (pp. 5656–5663). IEEE.

Presentations

Building Generalizable Learning Systems for Dynamic Cybersecurity Environments

December 08, 2025

Master’s Thesis Defense at The University of Texas at El Paso, El Paso, Texas, United States

Demystifying Artificial Intelligence and Machine Learning: Basic Concepts for Counselor Educators

September 12, 2025

Education Session at Association for Assessment and Research in Counseling (AARC), Daytona Beach, Florida, United States

Uncovering the Impact of Adverse Childhood Experiences: Predicting Health Outcomes Using Machine Learning

April 20, 2025

Poster at IPS-AI Course Showcase, University of Texas at El Paso, El Paso, Texas, United States

Towards Building Generalizable Models for Malware Detection

March 10, 2025

Poster at Graduate Expo 2025, University of Texas at El Paso, El Paso, Texas, United States

Towards Building Generalizable Models for Malware Detection

December 15, 2024

Presentation at BigCyber-2024 Workshop, IEEE International Conference on Big Data (BigData), Hybrid (Recorded Presentation)

Awards & Fellowships

• Graduate School Travel Grant, University of Texas at El Paso
  10/2025
  • Awarded $770 to support travel and presentation at the Association for Assessment and Research in Counseling (AARC) Conference for the education session “Demystifying Artificial Intelligence and Machine Learning: Basic Concepts for Counselor Educators.”
• Mike Loya Graduate Research Fellowship, University of Texas at El Paso
  01/2025
  • Awarded $18,000 Graduate Research Fellowship to support research on emerging technologies, including data analysis and patent evaluation.
  • Participated in entrepreneurship workshops and supported events such as the Miners Pitch Competition.
• The Army Commendation Medal, Certificate of Appreciation, The United States Army
  12/2012

Professional Certifications

• IBM IT Project Manager Professional Certificate, IBM
  03/2026
  Credential

• IBM Project Manager Professional Certificate, IBM
  03/2026
  Credential

• Engineer Information Processing, National Technical Qualification, South Korea
  10/2015