Hi, I am Hojun, also known as Holden.

I study how advanced software and AI systems are built, deployed, and governed in the real world.

I am a Master of Information Systems Management student at Carnegie Mellon University, focusing on the intersection of AI, systems design, and institutional decision-making.

Photo of Hojun Jin

About

I am a Master of Information Systems Management student at Carnegie Mellon University. I care deeply about how AI systems are deployed in practice, how organizations make decisions around technology, and what responsible governance looks like.

I chose CMU MISM because it sits at the intersection of engineering, analytics, and public-minded design. I want to work on problems where technical details, human behavior, and institutional choices all matter.

Experience

  • Deloitte · IT Specialist Consultant (2023–2025)
    Worked on enterprise systems (SAP, Oracle, SQL, Linux) supporting business operations and large-scale clients.
  • Taycor Financial · Software Engineer Intern (2022)
    Built internal automation tools and backend services using Python and Azure.

Projects

  • Comment Sense · U.S. Department of State
    Comment Sense is a GenAI-powered Chrome extension designed to support healthier online discussions by helping users better understand and evaluate comments they encounter online. The project focuses on analyzing claims within comments and surfacing relevant references and contextual information, enabling users to engage more critically rather than reactively. Originally supported by the U.S. State Department’s TechCamp program, CommentSense is currently being refined as a responsible AI tool for improving digital discourse and media literacy.
    View on Chrome Web Store →
    Comment Sense Final Demo Day Presentation
  • AI Route Planning · U.S. Department of Defense
    AI Route Planning is a GenAI-powered ATAK-CIV plugin designed to support faster and safer military route planning by helping Platoon Leaders quickly generate and evaluate optimal routes in hostile terrain. The project focuses on analyzing tactical variables such as speed priority, enemy detection risk, and terrain conditions, enabling leaders to make informed decisions rather than relying on time-intensive manual processes. Originally developed through Carnegie Mellon's Hacking for Defense (H4D) program in partnership with the U.S. Army, AI Route Planning is currently being refined as a proof-of-concept tool for improving operational efficiency and soldier safety in the field.

Contact

The best way to reach me is by email: hojunjin122@gmail.com

I am open to chatting about internships, collaborations, research ideas, or anything related to AI, systems, and life as an international student at CMU.