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HOYALIM/README.md

Hi, I'm Ho 👋

I'm a Data Scientist & AI Engineer based in California — Started as a Finance Bro in Investment Banking and evolving through roles in VC and Fintech, I am now a Data Scientist & AI Engineer driven by a deep passion for building with AI & ML.

  • 📈 Into Systematic Trading — quantitative strategies, signal research, and algo execution
  • 🤖 Excited about Agentic AI — LLM workflows, multi-agent systems, and AI-native tooling
  • 🧩 Building Chrome Extensions that actually remove friction from your workflow
  • 🏃 Coaching myself with data — Garmin + Strava metrics and a custom AI coach
  • 🔮 Exploring Saju (Korean fortune-telling) meets modern AI

🤝 Open Source Contributions

  • 🔥 NVIDIA/NemoClaw — Contributed to core engineering & performance optimizations (improved inference routing efficiency, proved deterministic state initialization, and enforced phase-aware E2E test budgets)
  • 🦞 openclaw — AI coding agent harness; contributed telemetry, gate resets, cron/session analytics
  • 🐙 oh-my-openagent — Hooks, agent teams & HUDs on top of Claude Code

🛠 Things I've Built

ProjectWhat it does
🏃 garmin-personal-coachPersonal AI training coach using Garmin + Strava data (WIP)
🦅 tapog.aiAI-powered browsing session manager
🧹 cleen (private)Chrome Extension — suspend inactive tabs, free your RAM

📬 Find me

  • LinkedIn
  • X
  • Personal Website

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  1. openclaw/openclawopenclaw/openclawPublic

    Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

    TypeScript 385k 81k

  2. code-yeongyu/oh-my-openagentcode-yeongyu/oh-my-openagentPublic

    omo/lazycodex: The coding agent for tokenmaxxers;the one and only agent harness for complex codebases. For your Codex, for your OpenCode

    TypeScript 67.2k 5.5k

  3. NVIDIA/NemoClawNVIDIA/NemoClawPublic

    Run agents like Hermes, LangChain Deep Agents, and OpenClaw more securely inside NVIDIA OpenShell with managed inference

    TypeScript 22.1k 3k

  4. garmin-personal-coachgarmin-personal-coachPublic

    Daily coaching loop for Garmin — 3-stage (precheck / final check / post-workout) with CalDAV calendar sync

    Python 1