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Coding...
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Coding...
8 followers · 15 following

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Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull Sharkx2Achievement: Quickdraw

Achievements

Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull Sharkx2Achievement: Quickdraw

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takatoshilee/README.md

hi, i'm taka

cs @ university of toronto. i build full-stack and LLM systems, then measure whether they actually work.

  • now: LLM guardrails research at prof. chechik's lab, turning rules from case law into guardrails, with domain experts grading what the model extracts
  • prev: swe intern @ amicare (react native home-care marketplace) and alcon (python analytics, fortune 500)
  • some things i've made:
    • job radar watches 300+ company job boards and pings me the minute something good goes live
    • dancesync scores your dancing against a reference video, joint by joint
    • mst-clustering benchmarks MST clustering vs k-means across 200+ datasets (preprint on researchgate)

takatoshilee.me · linkedin · taka.lee@mail.utoronto.ca

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  1. feed-pipeline feed-pipeline Public

    Job Radar: watches 300+ company job boards across 5 ATSs, LLM-scores new postings against my profile, pings Discord within minutes of them going live

    Python

  2. DanceSync DanceSync Public

    Pose-based dance scoring with MediaPipe + OpenCV + FFmpeg. Joint-angle comparison via MSE, with audio sync. My IB CS Internal Assessment.

    Python 1

  3. MLDA_Hackathon MLDA_Hackathon Public

    Forked from odinghosh/MLDA_Hackathon

    EduGauge: real-time lecture engagement analytics. TensorFlow emotion classifier (87% acc) + Haar cascades. NTU MLDA Finalist (277 participants).

    C++ 1

  4. html.ai html.ai Public

    Forked from tanujdargan/html.ai

    Real-time LLM UI personalization (UofTHacks 2025, team of 4). I built the demo sites, analytics dashboard, and debug panel, and integrated the SDK. Fork of tanujdargan/html.ai.

    HTML 1

  5. mst-clustering mst-clustering Public

    Kruskal vs Prim MST benchmarking (union-find in C++, NumPy harness). 117% faster on sparse graphs across 100 configs. Preprint: DOI 10.13140/RG.2.2.15350.41287

    C++ 2