Solving problems with data for six years
Trained in management information systems. Since 2020: forecasting, fraud detection, text analysis and LLM projects. Co-founded a company and ran its analysis team and lab; now an R&D researcher.
- 6+
- years in industry
- 17
- projects
- 7
- KCI papers · 1 patent
- 7
- awards
- 470h+
- teaching
Building now
Side project · 2026
Can AI beat the KMA?
Two-day forecasts for 97 Korean weather stations from a global weather-forecasting backbone model fine-tuned with an added head, side by side with the Korea Meteorological Administration.
Aurora 1.5 · PyTorch · LightGBM · Cloudflare Workers
Key projects and research
Read the full case studies →- 01Anomaly detection · water
Finding leaks in flow data
90%AccuracyF1 0.63 · XGBoostBack-traced labels for incomplete field records, then a moving EMA baseline and a classifier in place of a fixed line.
- 02Forecasting · smart farming
Forecasting the greenhouse climate
92%R²MAE 1.1℃ · PatchTSTClimate, control and weather streams learned separately, with trend decomposition to hold up across seasons.
- 03LLM agents · smart farming
LLM-agent consulting reports
Weeklyper-farm reportLangGraph · PDF · WebA consultant’s diagnosis rebuilt as an agent workflow that writes reports with charts, tables and concrete actions.
Career
- 2024.12 — now
Smart-farm companyCurrent
Senior researcher, R&D team
Built and shipped a greenhouse climate forecasting model (PatchTST) and LLM-agent consulting reports.
- 2020.07 — 2024.11
Co-founded AI startup
Data analysis lead · head of the corporate lab
Led AI and data research, ran projects, did the analysis, built back ends, taught and filed a patent.
Education
- 2022
PhD coursework, Management Information Systems
Kyungpook National University
- 2020
MS, Management Information Systems
Kyungpook National University
- 2018
BBA
Kyungpook National University
Skills
- Modelling
- Forecasting · Transformer (PatchTST) · Anomaly detection · Tabular · NLP · LLM Agent · Vision · XAI
- Tools
- Python · PyTorch · TensorFlow · XGBoost · LightGBM · LangGraph · OpenCV · KNIME
- Shipping
- Docker · Flask · NGINX · Linux · Raspberry Pi · Cloudflare Workers
Projects
- 2025 Text · LLM
AI consulting reports written by LLM agentsCase study →
Smart-farm company
- 2025 Forecasting
Greenhouse climate forecasting modelCase study →
Smart-farm company
- 2024.06 – 2024.10 Anomaly detection
Biofouling anomaly detection for smart-buoy sensors
Oden
- 2024.06 – 2024.07 Data analysis
Overlap review advisory for regional mega projects
DIP
- 2023.07 – 2023.11 Forecasting
Greenhouse environment simulation for smart farms
Smart-farm company
- 2023.06 – 2023.11 Text · LLM
Prompt engineering for LLM-written news articles
Daegu Ilbo
- 2022.08 – Anomaly detection
Fraud detection system build
KB
- 2022.06 – 2022.10 Forecasting
Water-temperature forecasting for smart buoys (data voucher)
Oden
- 2022.05 – 2022.07 Data analysis
Policy report on Daegu's three key industries
DIP
- 2022.01 – 2022.03 Text · LLM
Text mining project
KERIS
- 2020.06 – 2021.12 Text · LLM
Textile industry data platform: text mining, topic models, business models
KNU · DYETEC
- 2021.02 – 2021.05 Data analysis
Better colour prediction for textile dyeing
DYETEC
- 2020.11 – 2021.03 Forecasting
Energy-use forecasting model upgrade and algorithm research
KOGAS
- 2020 Text · LLM
Abusive-comment classification API, which led to a paper and a patent
Know Comment API
- 2020.10 – 2020.12 Data analysis
Training data collection, labelling and process management
KICT
- 2020.07 – 2021.09 Data analysis
Geographic analysis of accessible-transport operations
Daegu Facilities Corp.
- 2019.03 – 2019.12 Data analysis
Data analysis and visualization project with reports
KNU
Research
Device and method for classifying abusive comments
From the same work as the highway-network CNN paper and the Know Comment API.
Papers 8
- 2024
Multi-group time-series AI for ocean forecasting: sea-temperature prediction combining weather forecasts and deep learning
ConferenceKMIS Fall Conference
- 2024
Evaluating deep-learning models for segmenting real-world 3D dental scans: MeshSegNet and DilatedToothSegNet
KCIKorean Institute of Smart Media
- 2023
Clause classification for risk management in EPC ITB documents: a deep-learning ensemble approach
KCIKIPS
- 2021
Patent trends in textile materials with DETM and STM text mining
KCIThe Journal of Information Systems
- 2020
Bias & Hate Speech Detection Using Deep Learning: Multi-channel CNN Modeling with Attention
KCIKIICE
- 2020
Abusive comment classification with highway-network CNNs and out-of-vocabulary handling
KCIThe Journal of Information Systems 29(3)
- 2020
LSTM-based Deep Learning for Time Series Forecasting: The Case of Corporate Credit Score Prediction
KCIThe Journal of Information Systems
- 2019
Multi-phase Prediction Models for Crowdfunding Success: A Machine Learning Approach
KCIThe Journal of Internet Electronic Commerce Research
Awards
- AI 1st
Autonomous Greenhouse Challenge, 4th edition
4th in the final · 1st for AI
International contest hosted by a university abroad · 2024
- 1st
Smart Agriculture Hackathon
Agriculture minister's award
EPIS · 2022.09
- 1st
AI Competition, text track
10th overall of 400 teams
Ministry of Science and ICT · 2020.06
- 2nd
AI Championship 2020
Big-and-startup solver platform
Ministry of SMEs and Startups · 2020.11
- Rookie
Startup Awards
Company award
Daegu City · 2021.11
- Best
Best paper award
Time-series deep learning
KAIS · 2019.05
- Best
Best paper award
Tabular data analysis
KAIS · 2018.11
Teaching
21 courses from 2020 to 2024. Only courses with recorded hours are summed; a 280-page textbook and recorded courses are among them.
All 21 courses
| When | Where | Topic | Hours |
|---|---|---|---|
| 2024 | DIP | Data literacy and applied deep learning for reskilling | — |
| 2023.05 – 10 | DIP · DGB | Financial data analysis course | — |
| 2022.08 | Yeungjin Vocational School | Deploying AI models | — |
| 2022.06 – 08 | DIP | AI curriculum for the automotive industry | — |
| 2022.05 – 09 | KTDI | AI analysis for textile materials | 113h |
| 2022.03 | Yeungjin Vocational School | Applied AI analysis | 13h |
| 2021.12 – 2022.01 | LINE Lifelong Education | Recorded course on data analysis | 40h |
| 2021.12 | DIP | AI analyst training | 8h |
| 2021.10 – 11 | KERIS | 280-page data and AI textbook | — |
| 2021.09 | DIP | AI on Raspberry Pi | 16h |
| 2021.08 | DIP | Medical image analysis | 8h |
| 2021.08 | KNU | AI in agriculture | 4h |
| 2021.08 | DIP | AI systems for smart factories | 16h |
| 2021.08 | DIP | Serving an LSTM with TensorFlow on Docker | 4h |
| 2021.07 | KOGAS | Building AI systems in Python | 40h |
| 2021.07 | Keimyung Univ. | Smart factory systems | 21h |
| 2021.07 | DIP | Deploying Python services with Flask | 4h |
| 2021.06 – 07 | Yeungjin Cyber Univ. | Recorded course on data in practice | 11h |
| 2021.06 | DIP | Building fraud detection for finance | 12h |
| 2021.01 | Keimyung Univ. | Data and AI lectures | 80h |
| 2020.10 | Keimyung Univ. | KAC data science lectures | 80h |