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akhra92/README.md

Hi there 👋, I'm Akhrorjon

AI Engineer | PhD


🚀 About Me

  • 👨‍💻 PhD Degree from Kyungpook National University

  • 💻 Currently working AI Engineer @ OndAI Inc, Seoul, South Korea

  • 🏭 Focused on Computer Vision and LLMs

  • 🛠 Tech Stack:
    Python PyTorch TensorFlow OpenCV Scikit-Learn Git Docker

  • 🌍 Based in Seoul, South Korea 🇰🇷 | Originally from Uzbekistan 🇺🇿

📫 Contact


⚡ Fun fact

When I’m not coding, I’m probably pretending to understand my own code or searching for snacks that compile successfully.


📊 GitHub Stats

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  1. Reconstruction-Based-Image-Anomaly-Detection Reconstruction-Based-Image-Anomaly-Detection Public

    Unsupervised image anomaly detection in PyTorch — reconstructs intermediate ResNet50 feature maps with a 1×1 convolutional AutoEncoder and localizes anomalies via reconstruction-error heatmaps.

    Python

  2. Unsupervised-Video-Anomaly-Detection Unsupervised-Video-Anomaly-Detection Public

    This repository contains the PyTorch implementation of our paper published in the ETRI Journal, which can be found at https://onlinelibrary.wiley.com/doi/10.4218/etrij.2024-0115

    Python

  3. Intel-Image-Classification Intel-Image-Classification Public

    This repository classifies various objects in images from the Intel dataset on Kaggle using a pretrained model from the timm library.

    Python 1

  4. Dashcam-Collision-Detection-Jetson-Rockchip Dashcam-Collision-Detection-Jetson-Rockchip Public

    Temporal accident detection on dashcam video — detects when a collision happens via a sliding-window R(2+1)D / VideoMAE model, with ONNX→TensorRT (Jetson) and ONNX→RKNN (Rockchip) deployment.

    Python

  5. Student-Teacher-Model-For-Image-Anomaly-Detection-DINOv2 Student-Teacher-Model-For-Image-Anomaly-Detection-DINOv2 Public

    Image anomaly detection via student–teacher knowledge distillation — a ViT student distills a frozen DINOv2 teacher and flags defects by feature mismatch.

    Python

  6. Travel-Agent Travel-Agent Public

    AI-powered travel planner that recommends the best times to visit, ranks hotels by preference, and generates personalized itineraries using ML and GPT-4.

    Python