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My professional experience, education, skills, and achievements.
Basics
| Name | Kritnipit Phetanan |
| Label | AI Engineer |
| krit.phetanan@gmail.com | |
| Phone | (+66) 94-486-9769 |
| Url | https://kritnipit-phetanan.github.io/ |
| Summary | AI Engineer specializing in Computer Vision and GIS. Focused on developing innovative algorithms for Change Detection, Localization, and UAV imagery analysis. GKS Scholar holding an M.S. in Environmental Science & Engineering from UNIST. Trilingual in English, Korean, and Thai. |
Work
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2024.09 - 2026.01 Seoul, South Korea
AI Engineer
Data Design Engineering
Engineered navigation modules integrating VIO and VPS sensor fusion for GNSS-denied UAV localization. Developed Monocular Depth pipelines for urban/conflict damage assessment. Deployed YOLO and Feature Matching solutions for automated visual auditing workflows.
- GNSS-denied UAV Navigation System
- 3D Change Detection System
- Vision-Based Inventory Management
-
2022.09 - 2024.08 Ulsan, South Korea
Research Assistant
Ulsan National Institute of Science and Technology (UNIST)
Implemented Computer Vision on Sentinel-1 SAR imagery for algal blooms and water quality monitoring. Integrated Deep Learning (LSTM) with SWAT models to enhance water quality prediction accuracy.
- Algal Blooms Monitoring System
- AI-Driven Hydrological Modeling (SWAT-LSTM)
Education
Awards
- 2024.08.01
Outstanding Performance Award
National Institute for International Education (NIIED), South Korea
Awarded for exceptional academic and research performance during the Global Korea Scholarship program.
- 2024.05.01
Outstanding Presentation Paper Award
Korean Society on Water Environment (KSWE)
Received for presenting innovative research on deep learning applications in hydrological modeling at the KSWE Spring Conference.
- 2022.09.01
Global Korea Scholarship (GKS)
Korean Government
Full scholarship for graduate studies covering tuition, living expenses, and research support at UNIST.
Skills
| Languages & Frameworks | |
| Python | |
| SQL | |
| FastAPI | |
| Pydantic | |
| PyTorch | |
| TensorFlow | |
| Keras | |
| Scikit-learn | |
| OpenCV | |
| NumPy | |
| Pandas | |
| Next.js | |
| Playwright | |
| ROS | |
| GeoPandas | |
| Rasterio | |
| GDAL | |
| PCL | |
| MATLAB | |
| R | |
| PyTest |
| Algorithms & Methods | |
| YOLO | |
| CNN | |
| LSTM | |
| GAN | |
| RAG | |
| Ollama/Gemini API | |
| Prompt Engineering | |
| Vector Embeddings | |
| Image Segmentation (SAM, U-Net) | |
| VIO/SLAM | |
| Kalman Filter | |
| Depth Estimation | |
| Change Detection | |
| Feature Matching (SIFT/ORB/xFeat) |
| Developer Tools | |
| Azure (ADF, Synapse, Databricks, ADLS Gen2) | |
| AWS (S3, EC2) | |
| PostgreSQL | |
| pgvector | |
| Docker | |
| Git | |
| CI/CD | |
| Linux | |
| ONNX | |
| TensorRT | |
| RunPod (GPU Cloud) | |
| RESTful APIs | |
| Nginx | |
| QGIS | |
| ArcGIS | |
| SNAP | |
| Open3D | |
| SWAT |
Languages
| Thai | |
| Native Speaker |
| English | |
| Professional (TOEIC 900) |
| Korean | |
| Advanced (TOPIK 5) |
Projects
- 2024.09 - 2026.01
GNSS-denied UAV Navigation System
Developed VIO & VPS sensor fusion framework for UAV localization using custom Extended Kalman Filter. Optimized algorithms on Raspberry Pi 5 for real-time inference.
- VIO
- VPS
- EKF
- Raspberry Pi
- 2024.09 - 2026.01
3D Change Detection System
Developed Monocular Depth pipelines to generate DEMs for urban/conflict damage assessment. Deployed end-to-end web service via Nginx.
- Depth Estimation
- DEM
- Web Service
- 2022.09 - 2024.08
Algal Blooms Monitoring
Implemented Computer Vision on Sentinel-1 SAR imagery for precise change detection and water resource monitoring.
- SAR
- Computer Vision
- Remote Sensing
- 2022.09 - 2024.08
SWAT-LSTM Hydrological Modeling
Integrated LSTM with SWAT models to enhance water quality prediction accuracy in the Chao Phraya River Basin.
- LSTM
- SWAT
- Hydrology