With a rich background as a Computer Vision AI Engineer, I specialize in designing and implementing microservices with deep learning models for optimizing IoT applications. My hands-on experience combined with my dedication to advancing in this dynamic field makes me a strong asset. I am actively seeking a challenging role in a forward- thinking organization where I can apply my skills.

• 📫 How to reach me: [email protected] 📥
• 🌱 I’m currently learning ROS, Robotics
• 🔭 I’m currently working on ADAS on Nvida Jetson

• Gachon University
  • Master's degree in Computer Engineering
  • Study period: 2020.09.01 – 2022.08.25
  • GPA: 4.17

• Deep learning based Brain Tumor Segmentation module

  • Approaches: Brain tumor detection on 3D MRI volumetric image
  • Frameworks: PyTorch, Nifty
  • Algorithms: 3D Convolutional Neural Networks

• Advanced Driver Assistance Systems (ADAS) Project - Real-time Object Detection and Collision Avoidance System

  • Approaches: Utilizing camera and LiDAR sensor fusion for accurate detection and tracking of vehicles, pedestrians, and obstacles.
  • Frameworks: TensorFlow, OpenCV
  • Algorithms: YOLO (You Only Look Once) v4 for fast object detection, Kalman filters for object tracking

• Driver Monitoring Systems (DMS) Project - Facial Recognition and Drowsiness Detection

  • Approaches: Continuous monitoring of driver's facial features and eye movements to detect drowsiness and distraction.
  • Frameworks: OpenCV, dlib
  • Algorithms: CNN-based facial landmark detection, SVM (Support Vector Machine) for emotion and drowsiness classification

• 3D Face Reconstruction

  • Approaches: Process 2D face image and create 3D face
  • Frameworks: DECA, DeepFace, OpenCV
  • Algorithms: Convolutional Neural Networks, Morphable models, Parsing/Detection, Face landmark detection, Gender/race/hair style/hair color detection

• AIVAR
  • AI Developer
  • 2022.07.15 – current
  • Develop 3D Face Reconstruction server application using 3D Morphable Deep Learning and other state-of-the-art image classification, object detection, segmentation, landmark detection, and other computer vision algorithms.

• "3D Volume Reconstruction from MRI Slices based on VTK." In 2021 International Conference on Information and Communication Technology Convergence (ICTC), pp. 689-692. IEEE, 2021.
• "Attention 3D U-Net with Multiple Skip Connections for Segmentation of Brain Tumor Images." Sensors 22, no. 17 (2022): 6501.

• Uzbek: native
• English: fluent
• Korean: intermediate