Lee JinKyu | Lee JinKyu
AI·LLM·Big Data Analysis Expert / CEO of Happy AI
👉Detailed career history can be found at the link below.
https://bit.ly/jinkyu-profile
Hello.
I am Lee Jin-kyu (Ph.D. in AI Engineering), CEO of Happy AI, who has been consistently working with AI and big data analysis in R&D, education, and project fields.
I have analyzed various unstructured data such as
surveys, documents, reviews, news, policies, and academic data
based on Natural Language Processing (NLP) and text mining,
and recently, I have been delivering practical AI application methods tailored to organizations and work environments using Generative AI and Large Language Models (LLM).
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,
the Korea National Park Service, and Seoul City, and have conducted
more than 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 Generative AI and Big Data Analytics Company
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 Stellavision Developer
2018 ~ 2021
Government-funded Research Institute Natural Language Processing & 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 and Corporate AI Task Automation
🎒 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 – Korea Vocational Development Institute
LDA & Sentiment Analysis with ChatGPT – Inflearn
Python-based Text Analysis – Seoul National University of Science and Technology
Creating LLM Chatbots Using LangChain – Inflearn
2023
Python Basics using ChatGPT – Kyonggi University
Big Data Expert Course Special Lecture – Dankook University
Basics of Big Data Analysis – Let U In 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)
Development of LLM models based on Instruction Tuning and RLHF
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 LLM Technology Perception Based on News Article 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