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kxxholee/README.md

Kwanho Lee

AI-Aware Embedded & System Software Engineer

I am highly interested in understanding the core principles of AI algorithms and designing optimized systems to deploy them reliably in resource-constrained edge and embedded environments.

Skills

Low-level & System

  • Languages: C, C++, Python, Bash Script
  • Build & Environment: CMake, Make, GCC, Neovim(LazyVim) on Linux
  • Infrastructure: Docker, Linux POSIX API

AI & Algorithms

  • Machine Learning: PyTorch, Reinforcement Learning (Including Policy Optimizations), Tensorflow
  • Computer Vision: Object Detection(Wildlife), Network Optimization for Edge Devices

Pinned Loading

  1. core_placement_trpo core_placement_trpo Public

    TRPO-based core placement optimization for many-core SoCs using a SystemC/TLM simulation environment.

    Python

  2. edge-wildlife-detection edge-wildlife-detection Public

    Edge AI wildlife detection system using YOLOv8, OpenCV, Docker, and NVIDIA Jetson for real-time inference.

    Python

  3. rpi-gpio-alarm rpi-gpio-alarm Public

    Embedded Linux alarm system with custom GPIO character device drivers and user-space applications on Raspberry Pi.

    C

  4. presevka presevka Public

    Pretendard + Iosevka

    Python