Large Language Models
LLM agents, retrieval-augmented generation, training pipelines, and model evaluation.
NLP & AI Research · 최재영
Jae Y. Choi
Computer Science undergraduate at DGIST
I research large language models, multimodal AI, and human-computer interaction. My work includes building training and evaluation pipelines, developing LLM agents, curating research data, and studying how people and research communities engage with AI systems.
Computer Science
GPA 3.79
Research
Research interests
I am interested in questions that cross technical and human-centered perspectives: how models are trained and evaluated, where they fail, and what people actually need from them.
Multimodal AI
Systems that learn from and reason across multiple modalities, including data generation and curation.
Human–Computer Interaction
Interdisciplinary research practices and the relationship between AI systems and human needs.
Manuscript in preparation · Second author
Interdisciplinary identities of HCI researchers
Examining how diverse academic backgrounds shape research approaches and contributions in HCI. Targeting submission to the ACM CHI Conference.
Experience
Research and professional experience
DLI Certified Instructor Current
NVIDIA Deep Learning Institute
Certified instructor for the Building RAG Agents with LLMs course.
Research Intern
LaMI Lab, DGIST
Conducted research on large language models and multimodal systems.
AI Ambassador
Upstage
Served as an AI developer-community ambassador and supported technical outreach.
Research Intern
SEMES · Smart EQ SW Center
Conducted R&D for an LLM agent service for semiconductor manufacturing equipment. Built multi-agent systems with LangChain and researched RAG-based domain knowledge methods.
Research Intern
DIAG · Yonsei University
Studied the interdisciplinary identities of HCI researchers and contributed to an ACM CHI manuscript in preparation.
Research Intern
DIAG · DGIST
Supported an AI-driven audit system, augmented linguistic corpus data for an NIA-funded project, and reviewed HCI methodology literature.
Project Manager, Simulation Platform
Quester
Initiated and led a Unity-based virtual experiment platform, coordinating developers, domain experts, vendors, deployment, and pilot trials.
Projects
Selected projects and leadership
DGIST AI Build Week 2026
Lead Organizer · Jul 2026Initiated and led a two-day, campus-wide AI festival with keynotes, hands-on workshops, sponsor booths, and an overnight team hackathon.
- Recruited and coordinated industry partners including Upstage, Lablup, and UNIVA.
- Designed the full program, including internship pathways at sponsor companies.
Play the LAB (PLAB)
Project ManagerLed end-to-end development of an interactive Unity platform for immersive virtual science experiments.
- Owned the project lifecycle from proposal and roadmap to deployment.
- Piloted with users at three sites and demonstrated at Ewha Womans University and Seoul Women's University.
NAVER CONNECT SW Camp
Team LeadLed a volunteer team through summer and winter camps across several schools, including program design and social-media outreach.
- The team was selected as an Outstanding Club by NAVER CONNECT.
Education
Education
Daegu Gyeongbuk Institute of Science & Technology
B.S. in Computer Science
GPA 3.79 · Six semesters completed · Daegu, South Korea
Kyungpook National University
Summer Credit Exchange
School of Computer Science and Engineering · GPA 3.50
Seoul National University
Winter Credit Exchange
Department of Electrical and Computer Engineering · GPA 3.85
Recognition
Certifications and awards
Certifications
Building RAG Agents with LLMs
NVIDIA DLI
Getting Started with AI on Jetson Nano
NVIDIA DLI
H-Mobility: Autonomous Driving — Perception
Hyundai NGV
Building Transformer-Based NLP Applications
NVIDIA DLI
Building Conversational AI Applications
NVIDIA DLI
Computer Vision for Industrial Inspection
NVIDIA DLI
Awards & Honors
Outstanding Training Award
Korea Air Force Basic Military Training Center
Outstanding Club Award
NAVER CONNECT · SW Sprout Camp
Hanwha Science Challenge — Bronze
Hanwha Group
Youth Content Dream Project — Grand Prize
Chungnam Content Korea Lab
Lectures
Teaching and lecture materials
Building RAG Agents with LLMs
NVIDIA Deep Learning Institute · DLI Certified Instructor & University Ambassador
Lecture slides prepared for the NVIDIA DLI course. Free to use with attribution to the author and source.
NVIDIA DLI Instructor CV (PDF)
Teaching & education experience · Industry experience · Education
Part 1. Introduction to LLM (PDF)
What an LLM is · Reasoning & Agentic AI · LLM Training · Evolution of AI Models · GPU Infrastructure