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hun9812/README.md

Hun Namgung

I'm studying Computer Science & Engineering at Sungkyunkwan University. Most of my recent projects use Python, alongside coursework in C and C++. I'm interested in working with data and building tools that make repetitive tasks easier.

Projects

  • Options Radar — A local stock and options dashboard with API data collection, SQLite storage, and an offline demo.
  • ESW — Vibration and current monitoring on a linear stage, with anomaly detection using normal-operation data.
  • RISC-V Spike Labs — Pipeline timing, hazard handling, and cache policies on Spike.
  • ETF Risk Research — Experiments with ETF exposure rules and time-series validation.
  • Homography — Image transformations and homography estimation with SVD and RANSAC.
  • Min–max–median queue — A priority queue implemented with an AVL tree in C.

Options Radar was developed with AI assistance. Its README explains the implementation, tests, and limitations.

Study notes

Kaggle · PyTorch · LeetCode

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  1. ESW_project ESW_project Public

    STM32 이송축의 진동·전류 수집과 정상 데이터 기반 이상 탐지

    C

  2. options-radar options-radar Public

    Local stock and options analysis dashboard with saved results and an offline demo.

    Python

  3. riscv-spike-labs riscv-spike-labs Public

    RISC-V pipeline cycle accounting and cache policy extensions on Spike.

    C++

  4. CV_transformation_homography CV_transformation_homography Public

    2D 영상 변환과 SVD·RANSAC 기반 호모그래피 추정

    Python

  5. etf-risk-research etf-risk-research Public

    ETF exposure rules, walk-forward experiments and time-series validation.

    Python

  6. Algorithm_minMaxMedianPriorityQueue Algorithm_minMaxMedianPriorityQueue Public

    AVL 트리로 구현한 최소·최대·중앙값 우선순위 큐

    C