I'm a Computer Vision Engineer at Samsung Research specializing in AI model development for next-generation smart appliances. With experience spanning Samsung Research, Harvard University, Kyutech Institute of Technology, and Indian Institute of Technology. I combine deep technical expertise with a passion for creating practical AI solutions that enhance everyday experiences.
- 🔭 Currently working on vision-based AI models for Samsung's Smart Refrigerators
- 🌱 Specializing in on-device AI optimization, NPU deployment, and computer vision
- 🌍 Based in Seoul, South Korea
- 💼 Professional focus on edge AI, model optimization, and real-time computer vision systems
- Deep Learning: TensorFlow, PyTorch, Keras
- Computer Vision: OpenCV, object detection, segmentation
- Model Optimization: TensorFlow Lite, quantization, NPU deployment
- Natural Language Processing: SpaCy, NLTK, KlonPY
- AWS: S3, EMR, Glue, Athena, IAM
- Big Data: Spark, Hadoop, PySpark
- Data Visualization: Apache Superset, Matplotlib
- Languages: Python, Java, Kotlin, C/C++
- Mobile: Android SDK, Jetpack Compose
- Architecture: Clean Architecture, MVVM
Developed vision-based AI models for Samsung's next-gen smart refrigerators, enabling real-time food recognition and inventory management. Optimized for on-device deployment with <40MB size, <70ms latency, and >90% accuracy.
Architected and deployed a comprehensive health research application connecting Samsung devices with medical research institutions. Implemented using Kotlin, Android Framework, and Node.js with Clean Architecture principles.
Designed end-to-end Computer Vision software for an interactive art exhibition, creating systems that track visitors' faces and control robot arm movements in real-time.
Led data analysis on Samsung Health's 200M+ user database, revealing critical insights into global sleep patterns during the COVID-19 pandemic. Featured in international media and scientific publications.
- Samsung Research - Seoul, South Korea (2020-Present)
- Harvard University, Visual Computing Group - Massachusetts, USA (Remote, 2020)
- Kyutech Institute of Technology, Shibata Labs - Fukuoka, Japan (2018)
I'm always open to discussing AI research, computer vision projects, or potential collaborations. Feel free to reach out through LinkedIn or visit my portfolio website to learn more about my work.
I'm currently exploring advanced techniques in:
- Real-time object detection and segmentation for edge devices
- Neural Processing Unit (NPU) optimization strategies
- Out-of-distribution detection for robust AI systems
- Computer vision applications in interactive art and installations
