Hi, I'm Jeonghun Nam, aspiring to be an AI Product Engineer.
While AI is permeating many parts of our lives, I don't think its efficiency is always guaranteed.
Instead of just producing products, I am studying to build products that someone truly needs.
Current Role
Student
Based in
Seoul, South Korea
Focus Areas
MLOps, LLM, 3D Web, CV
Languages
Korean (Native) Japanese (Conversational) English (Conversational)
Academic Background
Undergraduate — SKKU Computer Education & Cognitive Science
Computer Science
Operating Systems · Software Engineering · Intro to Computer Graphics · Data Structures · Computer Architecture · Network Architecture · Linux System Programming · Database Systems
Artificial Intelligence
Principles of Machine Learning · Strategic Decision Making via AI · Introduction of AI · Cognitive Neuroscience · Data Security · AI Ethics
Engineering & HCI
Intro to HCI · C Programming Fundamentals · Game Programming (C# + Unity)
Education & Cognitive Science
Intro to Computer Education · CS Teaching Methods · Teaching Practice · Educational Psychology · Philosophy of Education · Cognitive Science Fundamentals
Education
Sungkyunkwan University (SKKU)
Computer Education / Cognitive Science (Interdisciplinary Major)
Enrolled
I am a Computer Education student at SKKU, nearing graduation. I am building a foundation in software development and programming while exploring AI, LLMs, and 3D Vision to develop a perspective on creating "human-centric AI services."
Tech Stack & Interests
Frontend & Interactive Web
Focusing on the immersive experiences 3D technology brings to the web, I am studying Three.js. Using React and TypeScript, I research interactive interfaces that deliver information more intuitively.
Backend & MLOps
To provide faster and more stable services, I am building backend engineering skills with Go. I have a strong interest in learning MLOps, including tools like Airflow and n8n, which are essential for integrating AI into production.
AI Product Engineering
I focus on the process of refining complex AI technologies into usable products. By placing LLM orchestration and computer vision in the right places, I aim to implement production-ready features beyond tech demos.
HCI & UX Design
Based on my Cognitive Science background, I think deeply about "user-friendly AI." I analyze user data to find experience gaps and develop the ability to design interfaces that bridge the gap between technology and people.
Timeline
Jan 2026 ~ Present
Developing 4 AI Services for the Japanese Market
Architecting and implementing Japanese Stock Analysis, On-premise Language Learning, JLPT Speaking Coach, and Carrier Add-on Detection services. Preparing for production deployment.
Jan 2026
Autonomous Driving Competition – Encouragement Award
Developed an autonomous vehicle prototype using ROS2 and AI. Despite technical bottlenecks, secured the Encouragement Award through team-based problem-solving.
Nov 2025 ~ Dec 2025
VSCode Extension Development & Deployment (Bareun AI)
Built a VSCode extension from scratch for automated Korean grammar checking using Bareun AI API. Deployed to Marketplace with 30+ downloads to optimize developer workflows.
Oct 2025
Campus Hackathon – AI Task Planner Backend Architecture
Designed and implemented a backend system for an AI-powered Task Planner, gaining hands-on experience in API design and scalable service architectures.
Sep 2025
ICT Next Frontier – Grand Prize (AI Disaster Relief System)
Proposed an AI-driven optimization system for disaster relief allocation. Awarded the Grand Prize (1.5M KRW) for technological feasibility and system design logic.
Aug 2025
Jetema Website Renewal Hackathon – Excellence Award
Executed a UX-focused website renewal proposal. Won the Excellence Award (300K KRW) by demonstrating the impact of user-centric design.
Mar 2025 ~ Jun 2025
Grow Graph – Data Structure Project
Developed both client and server for the "Grow Graph" project, exploring AI-based career growth visualization during Data Structure coursework.
Mar 2024
Transferred to Sungkyunkwan University
Transferred as a junior to major in Information and Computer Engineering. Pivoted focus toward AI and Backend Engineering to build a specialized career path.
Jun 2025 ~ Present
Launched Tech Blog "Hun-Bot.dev"
Established a technical blog to document learning processes and development retrospectives, consistently sharing engineering insights.
Nov 2025 ~ Present
Built github.io Knowledge Repository
Constructed a Docusaurus-based study site to structurally organize computer science knowledge and personal learning milestones.
Challenges & Lessons Learned
2024 ~ Early 2025
A Period of Reflection After Transfer
Spent the first year focused on core academic subjects. Recognizing the need for practical application in 2025, I began proactively engaging in hackathons and large-scale projects.
Late 2024, Late 2025
Successive Failures in Campus Competitions
Attempted to build Post-mortem Data and AI Scheduling services within 48-hour hackathon constraints. Although unsuccessful, I learned the paramount importance of data preprocessing and domain research.
Apr 2025 ~ Jun 2025
SNU Data Competition Failure
Challenged the SNU competition but failed due to insufficient knowledge in feature engineering. This experience drove me to prioritize rigorous problem definition and research in subsequent award-winning projects.