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Achievement: Pair Extraordinairex4Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLOAchievement: Starstruckx2

Achievements

Achievement: Pair Extraordinairex4Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLOAchievement: Starstruckx2

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alohays/README.md

Hi there, I'm Yunsung 👋

AI Research Engineer who bridges cutting-edge research with real-world applications

I'm an AI research engineer with strong foundations in both research and practical engineering:

  • 🔬 Research background: 10+ publications in top-tier conferences (NeurIPS, CVPR, AAAI) with 1.7 K+ citations
  • 💻 Engineering experience: Building scalable AI systems serving 5M+ MAUs
  • 🌉 Bridge builder: Transforming cutting-edge research into technologies that actually enhance people's lives
  • 🍸 Fun fact: I'm a licensed (by the Korean Government) home bartender in my free time!

What I'm passionate about

I believe the most exciting AI innovations happen when research meets real-world applications. My work focuses on:

  • 🧠 Multimodal AI systems that combine vision and language
  • 🤖 Building autonomous agents with memory and personalization
  • 🔄 Diffusion models and generative AI
  • 🚀 Scaling research prototypes to production-ready systems

Let's connect! ☕

I love meeting curious minds and sharing ideas. Whether you're a fellow researcher, student, entrepreneur, or just someone interested in AI - I'd be happy to chat!

📅 Book a virtual coffee chat with me - 45 minutes of free-form conversation about AI, research, career paths, or anything that sparks your interest.

⭐ Check out some of my open-source work:

Pinned Loading

  1. awesome-visual-representation-learning-with-transformers awesome-visual-representation-learning-with-transformers Public

    Awesome Transformers (self-attention) in Computer Vision

    269 37

  2. open-world-agents/open-world-agents open-world-agents/open-world-agents Public

    Everything you need to build state-of-the-art foundation multimodal desktop agent, end-to-end.

    Python 38 10

  3. worv-ai/CostNav worv-ai/CostNav Public

    CostNav: A Navigation Benchmark for Real-World Economic-Cost Evaluation of Physical AI Agents

    Python 20 1

  4. allenai/vla-evaluation-harness allenai/vla-evaluation-harness Public

    One framework to evaluate any VLA model on any robot simulation benchmark.

    Python 251 19

  5. paper2pr paper2pr Public

    AI/ML Paper → Presentation-ready Beamer + Quarto slides via Claude Code multi-agent workflow

    HTML 5

  6. dotfiles dotfiles Public

    Standard-first, agent-friendly dotfiles for macOS/Linux/SSH: one-command install, clean replacement, token-efficient defaults, optional TUI polish.

    Shell 1