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Machine Learning Engineer with a rich background spanning industrial and academic settings, committed to advancing artificial intelligence. Expertise includes supervised, self-supervised, and transfer learning techniques, with specialized skills in object detection, recognition, segmentation, and tracking. Excels in the development of 3D avatar creation algorithms using advanced morphable models. Proficient with AWS and edge computing devices for deploying scalable AI models that enhance IoT and virtual reality technologies, aiming to transform industry practices and elevate user experiences.

• Phone: 010-8025-0595
• Email: [email protected]
• LinkedIn: Jakhongir Nodirov
• GitHub: jakhon37
• Website: jakhon37.github.io

• Uzbek: Native
• English: Proficient
• Korean: Intermediate

Main Competencies: Object Detection/Recognition/Segmentation, Object Tracking, Medical Imaging, Image Restoration & Enhancement, Large Vision Language & Generative Models

• Programming Languages: Python, C/C++
• ML Frameworks: PyTorch, PyTorch3D, TensorFlow, Scikit-Learn, Numpy
• MLOps Tools: Docker, Docker-compose, Flask, FastAPI, Gradio, Streamlit
• Databases: MySQL, SQLite, Weaviate
• Development Tools: Git/GitHub, Docker, CI/CD
• Cloud Platforms: AWS EC2/S3, ORACLE Compute/Storage
• IoT & Embedded Devices: Jetson Nano, Raspberry Pi, ESP32, Yocto, PlatformIO, ROS2, MicroROS, SLAM, NAV2
• Main Competencies: Object Detection/Recognition/Segmentation, Object Tracking, Action Recognition, OCR, Medical Imaging, Image Restoration & Enhancement, DeepFakes, Generative Models, Vision-Language Models, Large Language Models, Building End-to-End Pipelines, Deployment Pipelines

• Gachon University
  • Degree: Master’s degree in Computer Engineering
  • Period: 2020.09.01 – 2022.08.25
  • GPA: 4.17/4.5

• "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” in Sensors 22, no. 17 (2022): 6501. https://scholar.google.com/citations?user=yt1yJyAAAAAJ&hl=en&authuser=1

• Role: AI Software Engineer
• Period: 2023.02.01 – 2025.03.31