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  • Songdo Int'l City, Incheon, Korea
  • 01:33 (UTC +09:00)
  • X @entworacy

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entworacy/README.md

About

I'm a developer with a strong interest in Diffusion Large Language Models (dLLM), Computer Vision, Linux Kernel / System Hacking, and Backend Programming. Currently learning and diving deeper into how large-scale AI systems work under the hood, and how operating systems and security work at the lowest level.

  • Learning about distributed inference and training strategies for LLMs
  • Researching efficient multi-object tracking (MOT) in Computer Vision
  • Studying vision-language model architectures and multimodal reasoning
  • Exploring Linux kernel internals and system hacking techniques
  • Studying Backend Programming and Computer Science fundamentals
  • Passionate about low-level systems and understanding things from the ground up

What I'm Studying

Diffusion LLM Systems

  • Model parallelism & pipeline parallelism strategies
  • Efficient inference on edge and heterogeneous clusters
  • Communication-efficient distributed training
  • Memory optimization for large-scale models
  • Quantization and pruning for deployment

Computer Vision

  • Efficient Multi-Object Tracking (MOT) — current research focus
  • Object detection and segmentation architectures
  • Vision Transformers (ViT) and hybrid models
  • Multimodal learning (Vision-Language Models)
  • Real-time inference optimization
  • Self-supervised and contrastive learning

Linux Kernel & System Hacking

  • Kernel module development and internals
  • System call tracing and hooking
  • Memory management and exploitation techniques
  • Binary analysis and reverse engineering
  • Privilege escalation and defense mechanisms

Backend & Computer Science

  • Server architecture and API design
  • Database systems and query optimization
  • Data structures and algorithms
  • Operating systems and networking fundamentals
  • Concurrency and distributed systems concepts

Tech Stack

ML & Learning

Python PyTorch CUDA OpenCV Hugging Face Weights & Biases

Systems & Infrastructure

C C++ Rust Go Linux Docker

Web & Application

TypeScript JavaScript Node.js React Vue.js Kotlin


Currently Learning

dLLM                ████████████████░░░░░░   70%   Distributed inference & training
Computer Vision     ██████████████░░░░░░░░   60%   Multi-Object Tracking & Vision Models
Backend Programming ██████████░░░░░░░░░░░░   45%   Server architecture & API design
Computer Science    ████████████░░░░░░░░░░   50%   DS & Algorithms, OS, Networking
Linux Kernel        ██████████░░░░░░░░░░░░   45%   Kernel internals & module development
System Hacking      ████████░░░░░░░░░░░░░░   40%   Binary exploitation & reverse engineering
Systems Programming ████████████░░░░░░░░░░   50%   CUDA kernels & low-level optimization
Open Source         ████████░░░░░░░░░░░░░░   35%   Contributing to ML ecosystem

GitHub Stats


"The best way to predict the future is to build it."

Gmail GitHub

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