Lee JinKyu | Lee JinKyu
AI·LLM·Big Data Analysis Expert / CEO of Happy AI
👉You can check the detailed profile at the link below.
https://bit.ly/jinkyu-profile
Hello.
I am Lee JinKyu (Ph.D. in Engineering, Artificial Intelligence), CEO of Happy AI, who has consistently worked with AI and big data analysis across R&D, education, and project sites.
I have analyzed various unstructured data, such as
surveys, documents, reviews, media, policies, and academic data,
based on Natural Language Processing (NLP) and text mining.
Recently, I have been delivering practical AI application methods tailored to organizations and work environments
using Generative AI and Large Language Models (LLMs).
I have collaborated with numerous public institutions, corporations, and educational organizations, including Samsung Electronics, Seoul National University, Offices of Education, Gyeonggi Research Institute, Korea Forest Service,
and Korea National Park Service, and have conducted a total of over 200 research and analysis projects across various domains such as
healthcare, commerce, ecology, law, economics, and culture.
🎒 Inquiries for Lectures and Outsourcing
※ Kmong Prime Expert (Top 2%)
📘 Bio (Summary)
2024.07 ~ Present
CEO of Happy AI, a company specializing in Generative AI and Big Data analysis
Ph.D. in Engineering (Artificial Intelligence)
Dongguk University Graduate School of AI
Major: Large Language Models (LLM) (2022.03 ~ 2026.02) 2023 ~ 2025 Public News AI Columnist (Generative AI Bias, RAG, LLM Utilization Issues) 2021 ~ 2023 AI & Big Data Specialist Company Stell
Major: Large Language Models (LLM)
Bio (Summary) 2024.07 ~ Present CEO of Happy AI, a company specializing in Generative AI and Big Data Analysis Ph.D. in Engineering (Artificial Intelligence) Dongguk University Graduate School of AI Major: Large Language Models (LLM)
(March 2022 – February 2026)
2023 ~ 2025
Public News AI Columnist
(Generative AI Bias, RAG, LLM Utilization Issues)
2021 ~ 2023
Developer at Stellavision, an AI and Big Data company
2018 ~ 2021
Government-funded Research Institute NLP & Big Data Analysis Researcher
🔹 Areas of Expertise (Lecture & Project Focused)
Generative AI and LLM Utilization
AI-based Big Data Analysis
Survey, review, media, policy, and academic data
Natural Language Processing (NLP) & Text Mining
Public/Corporate AI Task Automation
Document Summarization, Classification, and Analysis
Natural Language Processing (NLP) and text mining for reviews, media, policy, and academic data. Topic analysis, sentiment analysis, and keyword networks. Public and corporate AI workflow automation for document summarization, classification, and analysis.
🎒 Courses & Activities (Selected)
2025
2024
LangChain·RAG-based LLM Programming – Samsung SDS
LLM Theory and RAG Chatbot Development Practice – Seoul Digital Foundation
Introduction to Big Data Analysis based on ChatGPT – LetUin Edu
AI Fundamentals & Prompt Engineering Techniques – Korea Vocational Development Institute
LDA & Sentiment Analysis with ChatGPT – Inflearn
Python-based Text Analysis – Seoul National University of Science and Technology
Building LLM Chatbots with LangChain – Inflearn
2023
Python Basics using ChatGPT – Kyonggi University
Big Data Expert Course Special Lecture – Dankook University
Fundamentals of Big Data Analysis – LetUin Edu
💻 Projects (Summary)
Building a Private LLM-based RAG Chatbot (Korea Electric Power Corporation)
LLM-based Big Data Analysis for Forest Restoration (National Institute of Forest Science)
Private LLM Text Mining Solution for Internal Networks (Government Agency)
Instruction Tuning and RLHF-based LLM Model Development
Healthcare, Law, Policy, and Education Data Analysis
AI Analysis of Survey, Review, and Media Data
→ Over 200 projects completed, including public institutions, corporations, and research institutes
📖 Publication (Selected)
Improving Commonsense Bias Classification by Mitigating the Influence of Demographic Terms (2024)
Improving Generation of Sentiment Commonsense by Bias Mitigation
– International Conference on Big Data and Smart Computing (2023)
Analysis of Perceptions of LLM Technology Based on News Big Data (2024)
Numerous NLP-based text mining studies
(Forestry, Environment, Society, and Healthcare sectors)
🔹 Others
Python-based data analysis and visualization
Data Analysis Using LLM
Improving work productivity using ChatGPT, LangChain, and Agents