Researcher / Educator / AI Engineer

AI/ML researcher specializing in computer vision, deep learning, remote sensing, geospatial analysis, geotechnical data analysis, generative AI, AI agents, and agentic RAG for engineering and built-environment systems. I combine academic rigor with practical implementation, focusing on reproducible pipelines, deployable systems, and research-led solutions that solve complex engineering problems.

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Research interests: Computer Vision, Deep Learning, Remote Sensing, Geospatial Analysis, Agentic AI Systems, Time Series Analysis, Geotechnical Data Analysis
Academic direction: Research-led Teaching, Supervision, Translational Engineering
Professional focus: Reproducible Pipelines, Deployable AI Systems, Real-world Engineering Applications

Academic Foundation & Skills

Academic Degrees

PhD in Civil Engineering (2020-2024)
The University of Sydney, Australia
Project: AI-based material sorting and energy optimization in mining using computer vision and statistical modelling.
Thesis: Detecting Particles Properties From Their Kinematics in Granular Flows
MSc in Mathematics (2016-2019)
Sungkyunkwan University, South Korea
Project: AI-based material sorting and energy optimization in mining using computer vision and statistical modelling.
Thesis: Application of machine learning knowledge and graph centrality pruning algorithm to echo state network

Honours & Scholarships

Faculty of Engineering Scholarship, The University of Sydney
International Student Scholarship, Sungkyunkwan University
International Class Scholarship, Sungkyunkwan University
Graduate Assistant Tuition Waiver, Sungkyunkwan University
Excellent Manpower Training Scholarship, Sungkyunkwan University

Skills

AI & Machine Learning

Deep Learning
PyTorch
TensorFlow
Time-Series Analysis
Anomaly Detection
Probabilistic Modelling
Bayesian Methods
Statistical Learning
Model Evaluation
Experiment Pipelines

Generative AI & Agents

LLMs
RAG
Retrieval Design
Fine-Tuning
Instruction Tuning
AI Agents
Tool Use
Workflow Orchestration
Task Automation
Production AI Systems

Backend & Server-Side

Backend Development
REST APIs
API Integration
FastAPI
Flask
Server Deployment
Docker
Linux
PostgreSQL
Nginx

Vision, Remote Sensing & Geospatial

Computer Vision
Object Detection
Segmentation
OCR
Remote Sensing
Satellite Imagery
Aerial Imagery
GIS
Geospatial Analysis
Spatiotemporal Analysis
Infrastructure Analytics

Engineering & Scientific Computing

Geotechnical Data Analysis
Simulation-Informed Modelling
Granular Materials
Particle Kinematics
DEM Simulation
Digital Twins
Digital Construction
Python
C++
SQL
NumPy
Pandas
Matplotlib

Experience

Experience (5+ years)

Feb 2024 - Present

Researcher, AI/ML

CADian INC., Seoul, South Korea

Developed AI pipelines for 2D-to-3D CAD generation, internal RAG systems, DWG layer standardization, and production-ready modelling support tools.

2021 - 2022

Data Scientist

Soul Energy, Seoul, South Korea

Built time-series forecasting, anomaly detection, and GIS-based renewable energy planning models using statistical and deep learning methods.

2019 - 2021

AI/ML Engineer

InterMinds, Seoul, South Korea

Built smart retail AI prototypes, REST-integrated inference services, and reinforcement learning workflows for adaptive traffic control.

Publications & Patents

Publications

Centrality-Based Pruning for Efficient Echo State Networks
- arXiv, 2026
- Code: View code
Topology-Preserving Data Augmentation for Ring-Type Polygon Annotations
- arXiv, 2026
- Code: View code
Understanding student perceptions of flipped linear algebra classrooms via interpretable machine learning
- arXiv, 2026
Using tracer particle kinematics to sense particle size in rotating drums
- Granular Matter, 2024
Insights on the internal dynamics of bi-disperse granular flows from machine learning
- Granular Matter, 2023
Classifying grains using behaviour-informed machine learning
- Scientific Reports, 2022

Patents

CAD Drawing-Based AI System for Automatic Generation of Structured Models
- Republic of Korea
- Application No. 10-2025-0147049
- Filed in 2025
Projection Optimization System for Object Mapping Based on CAD Drawing Layers
- Republic of Korea
- Application No. 10-2025-0147050
- Filed in 2025
Standard Bounding Box Correction System Based on AI Object Detection
- Republic of Korea
- Application No. 10-2026-0071858
- Filed in 2026
Drawing Style Learning-Based Automatic Dimensioning System
- Republic of Korea
- Application No. 10-2026-0071859
- Filed in 2026

Selected Projects

Computer Vision

Detection, segmentation, classification, and visual reasoning systems for real-world image and video tasks.

View on GitHub

Generative AI

LLM applications, content generation, multimodal workflows, and prompt-driven research prototypes.

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Agent Development

Tool-using assistants, workflow automation, retrieval pipelines, and task-focused agent systems for research and production.

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VLM Fine Tuning

Vision-language model adaptation, dataset curation, supervised tuning, and evaluation for domain-specific tasks.

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OCR For Production

Production-oriented OCR workflows for document understanding, extraction pipelines, and operational automation.

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Geotech Wellbore Prediction

Data-driven prediction and modelling workflows for geotechnical and wellbore-related engineering analysis.

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GIS Project

Spatial analysis, mapping workflows, and geospatial data products for environmental and infrastructure applications.

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Anomaly Detection

Monitoring and detection workflows for unusual patterns, irregular behaviour, and data-driven alerting systems.

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For other projects visit here: GitHub profile