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Achievement: Pair Extraordinairex4Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO

Achievements

Achievement: Pair Extraordinairex4Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO

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Jin-HoMLee/README.md

JHM Lee Labs — applied AI for biology, vision, and intelligent systems

I’m Jin-Ho Lee, an independent builder with an M.Sc. in Molecular Biotechnology. I work across computational biology and production data/ML engineering, making tools that are useful at the boundary between research and practice.

Make the boundary part of the interface.

Selected work

Badminton Vision mark Badminton Vision
Local-first video analysis and labeling for badminton rallies, designed to keep review fast, inspectable, and close to the source.
Splice Neoepitope Pipeline mark Splice Neoepitope Pipeline
Reproducible workflow tooling for turning splice-aware evidence into candidate neoepitope analyses.

Intelligent systems, in the open

I’m exploring agentic AI, developer tooling, and reproducible data workflows. I share the useful parts plainly as they develop: experiments, interfaces, and the lessons between them.

Pinned Loading

  1. splice-neoepitope-pipeline splice-neoepitope-pipeline Public

    Reproducible Snakemake workflow for splicing-derived cancer neoepitope candidates

    Jupyter Notebook 1

  2. claude-personas claude-personas Public

    Lead your own AI team. Role-aware persistent memory for solo multi-persona Claude Code workflows.

    Shell 3

  3. badminton-vision badminton-vision Public

    Local-first YouTube badminton video analysis and labeling

    JavaScript 1

  4. jin-ho-lee-cv jin-ho-lee-cv Public

    Machine-readable, version-controlled CV — single source of truth in YAML + BibTeX, renderers produce PDF, website, JSON Resume, JSON-LD, and plain text

    Python 1 1

  5. Jin-HoMLee Jin-HoMLee Public

    Jin-Ho Lee — independent builder in computational biology and ML engineering

    1

  6. Capstone_Project_SignMeUp Capstone_Project_SignMeUp Public

    Forked from vosmani36/Capstone_Project_SignMeUp

    Real-time American Sign Language recognition — five-person team capstone with equal contributions; canonical upstream: https://github.com/vosmani36/Capstone_Project_SignMeUp

    Jupyter Notebook 1