About Me
I am an AI/ML engineer dedicated to transforming complex data into actionable insights and intelligent systems. My passion lies in developing robust, interpretable, and scalable predictive and classification models that address real-world challenges, particularly within the engineering and healthcare sectors.
My journey into AI and machine learning was driven by a deep curiosity about how data-driven systems can solve complex engineering challenges. Over nearly a decade, I have gained hands-on experience across the full ML lifecycle — from data collection, cleaning, and preprocessing to model development, evaluation, and real-world deployment. I have applied these skills in domains ranging from civil engineering to health diagnostics and smart agriculture. I am proficient in Python, R, MATLAB, and tools such as scikit-learn, TensorFlow, ArcGIS, and QGIS.
Experience
AI/ML Engineer and Postdoctoral Fellow
Geo Innovation Research Lab | 2022 - 2023
- • Developed AI models for optimized design and evaluation for ground improvement techniques in civil engineering.
- • Built scalable ML pipelines using Python and MATLAB with GIS integration.
- • Deployed models in collaboration with engineering teams for real-world infrastructure projects.
PhD and AI/ML Researcher
Chonnam National University | 2018 - 2022
- • Conducted in-depth analysis of geotechnical and environmental data to uncover spatial and temporal trends.
- • Developed proof-of-concept ML models for risk classification and site assessment.
- • Presented insights through clear visualizations and technical reports for engineering stakeholders.
Skills
Technical Skills
- • Languages: Python, R, MATLAB, SQL
- • ML Frameworks: Scikit-learn, TensorFlow, PyTorch, XGBoost
- • Data & GIS Tools: Pandas, NumPy, Spark, ArcGIS, QGIS
- • Cloud & MLOps: AWS, Docker, Git
Domain & Methodologies
- • Core ML: Predictive Modeling, Classification, Regression, Clustering
- • Model Development: Feature Engineering, Model Evaluation & Optimization, Hyperparameter Tuning
- • Specialized AI: Computer Vision, Geographic Information Systems (GIS) for AI
- • Applied Domains: Geotechnical Engineering AI, Environmental AI, Healthcare AI, Smart Agriculture AI
- • Practices: MLOps, Agile Development, Data Visualization, Experiment Design
Curriculum Vitae
Download my CV for more details on my background and accomplishments.
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