index.html

<!DOCTYPE html>
<html lang="en">
<head>
  <meta charset="utf-8" />
  <meta name="viewport" content="width=device-width, initial-scale=1" />
  <title>Jeewon Kim</title>
  <meta name="description" content="Jeewon Kim — AI engineer at Doosan Digital Innovation in Seoul. Builds agentic and generative AI systems and researches how to evaluate language agents. Columbia CS 2026." />
  <link rel="preconnect" href="https://fonts.googleapis.com">
  <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
  <link href="https://fonts.googleapis.com/css2?family=Schibsted+Grotesk:ital,wght@0,400..900;1,400..700&display=swap" rel="stylesheet">
  <link rel="stylesheet" href="styles.css" />
  <script type="application/ld+json">
  {
    "@context": "https://schema.org",
    "@type": "Person",
    "name": "Jeewon Kim",
    "jobTitle": "AI Engineer",
    "worksFor": {"@type": "Organization", "name": "Doosan Digital Innovation"},
    "alumniOf": {"@type": "CollegeOrUniversity", "name": "Columbia University"},
    "url": "https://gitgutgit.github.io",
    "sameAs": ["https://github.com/gitgutgit"],
    "email": "mailto:jk4864@columbia.edu",
    "address": {"@type": "PostalAddress", "addressLocality": "Seoul", "addressCountry": "KR"}
  }
  </script>
</head>
<body>
  <a class="skip" href="#work">Skip to content</a>

  <header class="hero">
    <div class="shell">
      <h1>Jeewon<br>Kim</h1>
      <p class="intro">I build agentic and generative AI systems at Doosan Digital Innovation in Seoul, and I research how to evaluate language agents. Columbia Computer Science, class of 2026.</p>
      <nav class="links" aria-label="Contact">
        <a href="mailto:jk4864@columbia.edu">Email</a>
        <a href="https://github.com/gitgutgit" target="_blank" rel="noopener">GitHub</a>
        <a href="#notebook">Research notebook</a>
      </nav>
    </div>

    <!-- Career trace: positions are set from data-at in main.js -->
    <figure class="trace shell" aria-label="Career timeline">
      <ol class="trace-track">
        <li class="ev up span" data-at="2020-10" data-to="2022-04"><a class="lab" href="#work-army" aria-describedby="peek-work-army"><time>2020</time><span>Korean Army, IT technician</span></a><p class="peek" id="peek-work-army" role="tooltip">Ran TACS security, Linux devices, and wireless networks for 18 months.</p></li>
        <li class="ev down" data-at="2024-05"><a class="lab" href="#work-gh" aria-describedby="peek-work-gh"><time>May 2024</time><span>Generous Health</span></a><p class="peek" id="peek-work-gh" role="tooltip">First engineer. Set up the backend so non-engineers could ship services, about 25% faster.</p></li>
        <li class="ev up" data-at="2024-06"><a class="lab" href="#work-tvcf" aria-describedby="peek-work-tvcf"><time>Jun 2024</time><span>TVCF, software engineer</span></a><p class="peek" id="peek-work-tvcf" role="tooltip">RAG tagging API for ad videos and a LangGraph multi-agent campaign generator.</p></li>
        <li class="ev down" data-at="2025-01"><a class="lab" href="#proj-tchelp" aria-describedby="peek-proj-tchelp"><time>2025</time><span>Founded TCHelp.org</span></a><p class="peek" id="peek-proj-tchelp" role="tooltip">Trauma Center Help: a nonprofit that sends donations straight to trauma centers.</p></li>
        <li class="ev up end" data-at="2026-05"><a class="lab" href="#edu-columbia" aria-describedby="peek-edu-columbia"><time>May 2026</time><span>Columbia, B.S. in CS</span></a><p class="peek" id="peek-edu-columbia" role="tooltip">B.S. in Computer Science, GPA 3.835. Research on evaluating LLM agents.</p></li>
        <li class="ev down end now" data-at="2026-09"><a class="lab" href="#work-doosan" aria-describedby="peek-work-doosan"><time>Sep 2026</time><span>Doosan Digital Innovation</span></a><p class="peek" id="peek-work-doosan" role="tooltip">Finding AI use cases across Doosan Group and taking them from PoC to deployment.</p></li>
      </ol>
    </figure>
  </header>

  <main class="shell">
    <section id="work" class="row">
      <h2>Work</h2>
      <div class="entries">
        <article class="entry" id="work-doosan">
          <header>
            <h3>Doosan Digital Innovation</h3>
            <p class="when">Sep 2026 – present, Seoul</p>
          </header>
          <p class="role">AI solution development and service planning, BU[AI]</p>
          <ul>
            <li>Find and prioritize AI use cases with teams across Doosan Group, set KPIs, and take them from PoC to deployment.</li>
            <li>Turn business processes and data into AI service requirements and solution architecture; build agentic and GenAI systems on open-source and external platforms inside group IT.</li>
            <li>Evaluate AI business models and new opportunities, including physical AI and robotics.</li>
          </ul>
        </article>

        <article class="entry" id="work-gh">
          <header>
            <h3>Generous Health LLC</h3>
            <p class="when">May 2024 – 2026, Los Angeles (remote)</p>
          </header>
          <p class="role">Founding engineer</p>
          <ul>
            <li>Set up backend patterns (FastAPI, Flask) that let two non-technical teammates ship services, cutting delivery time by about 25%.</li>
            <li>Stabilized workflows and third-party integrations and reworked the backend architecture.</li>
          </ul>
        </article>

        <article class="entry" id="work-tvcf">
          <header>
            <h3>TVCF</h3>
            <p class="when">Summers 2024 and 2025, Seoul</p>
          </header>
          <p class="role">Software engineer</p>
          <ul>
            <li>Built a RAG-based tagging API for ad videos, making tagging about 50% more efficient.</li>
            <li>Improved Elasticsearch search accuracy by about 40%.</li>
            <li>Built a multi-agent ad campaign generator in LangGraph; mixing GPT-4o and Claude Sonnet cut API cost by about 30%.</li>
          </ul>
        </article>

        <article class="entry" id="work-army">
          <header>
            <h3>Republic of Korea Army</h3>
            <p class="when">Oct 2020 – Apr 2022, Goyang</p>
          </header>
          <p class="role">IT technician</p>
          <ul>
            <li>Ran TACS security, Linux devices, and wireless systems, and kept IP and network configuration clean.</li>
          </ul>
        </article>
      </div>
    </section>

    <section id="projects" class="row">
      <h2>Projects</h2>
      <div class="entries">
        <article class="entry">
          <header>
            <h3>Decision Playground</h3>
            <p class="when">2026, personal</p>
          </header>
          <p>If a small decision model’s confidence can be trusted, only the ambiguous cases need an LLM. This testbed checks that claim: a confidence gate routes between small models and Claude on ticket routing, elevator dispatch, and robot pick-and-place, all scored the same way.</p>
          <ul>
            <li>Trained my own decider: Qwen3.5-2B with LoRA (0.33% of weights) and an option-scoring head, temperature-calibrated.</li>
            <li>Compared it with Laya, Mica-4B, and Claude Haiku, plotting accuracy against the share of cases sent to the LLM.</li>
          </ul>
          <p class="stack">Python, PyTorch, PEFT, Claude API, vanilla JS</p>
        </article>

        <article class="entry">
          <header>
            <h3>YOLO: You Only Live Once</h3>
            <p class="when">Fall 2025, Columbia</p>
          </header>
          <p>An agent that plays a 2D survival game from the screen alone. YOLOv8-nano detections become a 26-dimensional state, and a policy is first distilled from an expert, then fine-tuned with PPO.</p>
          <ul>
            <li>Team of three. I fine-tuned the detector, built the distillation pipeline, designed the end-to-end system, and ran the evaluation.</li>
          </ul>
          <p class="stack">PyTorch, Ultralytics YOLO, PPO, ONNX Runtime, Flask</p>
          <p class="go">
            <a href="https://yolo-web-demo-production.up.railway.app" target="_blank" rel="noopener">Play the demo</a>
            <a href="https://github.com/gitgutgit/YOLO-You-Only-Live-Once" target="_blank" rel="noopener">Code</a>
            <a href="https://raw.githubusercontent.com/gitgutgit/YOLO-You-Only-Live-Once/main/YOLO_dl_paper.pdf" target="_blank" rel="noopener">Report (PDF)</a>
          </p>
        </article>

        <article class="entry" id="proj-tchelp">
          <header>
            <h3>TCHelp.org <span class="aka">Trauma Center Help</span></h3>
            <p class="when">2025 – present, founder</p>
          </header>
          <p>A nonprofit platform that sends donations straight to trauma centers. I cover the running costs so every donation reaches a center.</p>
          <ul>
            <li>React and FastAPI on Supabase behind Cloudflare. 1,000+ unique visitors and 13,000+ requests in the first month.</li>
          </ul>
          <p class="go"><a href="https://tchelp.org/" target="_blank" rel="noopener">tchelp.org</a></p>
        </article>

        <article class="entry">
          <header>
            <h3>ImposterAI</h3>
            <p class="when">MIT hackathon</p>
          </header>
          <p>A tabletop social-deduction game where the AI is both the host and a deceptive player, inventing context-aware lies as the game unfolds. A lotus-shaped device with LED coasters runs on Raspberry Pi and Arduino.</p>
          <p class="go"><a href="https://github.com/gitgutgit/mit-hardmode-ImposterAI" target="_blank" rel="noopener">Code</a></p>
        </article>

        <article class="entry">
          <header>
            <h3>AI-powered reading feed</h3>
            <p class="when">Columbia</p>
          </header>
          <p>A personalized recommendation pipeline with GraphQL middleware and an AWS EC2 backend.</p>
          <p class="go"><a href="https://github.com/Gnosis-Media" target="_blank" rel="noopener">Code</a></p>
        </article>
      </div>
    </section>

    <section id="research" class="row">
      <h2>Research</h2>
      <div class="entries">
        <article class="entry">
          <header>
            <h3>LGL-bench</h3>
            <p class="when">With Prof. Tony Dear, Columbia</p>
          </header>
          <p>How should we measure strategic behavior in language agents? We use games whose best move is computable (Baskin-31, Op-Max) as measuring instruments, plus a three-player social-deduction game, and show how win rate, flat per-turn metrics, and simulated partners can each distort which model looks best.</p>
          <p class="stack">Manuscript in revision</p>
        </article>
      </div>
    </section>

    <section id="notebook" class="row">
      <h2>Notebook</h2>
      <div class="entries">
        <article class="entry">
          <p><a class="strong" href="https://aitrace-dun.vercel.app/en" target="_blank" rel="noopener">Trace &amp; Theory</a> is where I keep longer write-ups, concept notes, and browser demos for the work above. It is invite-only for now, <a href="mailto:jk4864@columbia.edu?subject=Trace%20%26%20Theory%20access">email me</a> for access.</p>
        </article>
      </div>
    </section>

    <section id="education" class="row">
      <h2>Education</h2>
      <div class="entries">
        <article class="entry" id="edu-columbia">
          <header>
            <h3>Columbia University</h3>
            <p class="when">Graduated May 2026</p>
          </header>
          <p class="role">B.S. in Computer Science, GPA 3.835</p>
          <p>AI Storytelling lead (Oct 2024 – Jan 2025): ran workshops on NLP and multimodal storytelling.</p>
        </article>
      </div>
    </section>

    <section id="toolkit" class="row">
      <h2>Toolkit</h2>
      <dl class="toolkit">
        <dt>AI</dt><dd>LLM agents, RAG, LangGraph, PyTorch, LoRA fine-tuning, YOLO, PPO</dd>
        <dt>Languages</dt><dd>Python, Java, JavaScript, C++, C#</dd>
        <dt>Backend</dt><dd>FastAPI, Flask, React, GraphQL</dd>
        <dt>Data and infra</dt><dd>Docker, AWS, Supabase, MongoDB, MySQL, Elasticsearch</dd>
      </dl>
    </section>

    <section id="archive" class="row">
      <h2>Smaller things</h2>
      <ul class="archive">
        <li><a href="https://github.com/gitgutgit/Crime-insight" target="_blank" rel="noopener">Crime Insight</a> <span>full-stack crime data explorer (<a href="https://crime-insight-deploy.onrender.com" target="_blank" rel="noopener">demo</a>)</span></li>
        <li><a href="https://github.com/gitgutgit/CustomAiChatBot" target="_blank" rel="noopener">CustomAIChatBot</a> <span>LLM chatbot</span></li>
        <li><a href="https://github.com/gitgutgit/AnalysisAiBot" target="_blank" rel="noopener">AnalysisAiBot</a> <span>LLM analysis bot</span></li>
        <li><a href="https://github.com/gitgutgit/MiddleWarePython" target="_blank" rel="noopener">MiddleWarePython</a> <span>Python middleware</span></li>
        <li><a href="p5sketch.html" target="_blank" rel="noopener">p5.js sketch</a> <span>mock stock ticker and calculator</span></li>
      </ul>
    </section>
  </main>

  <footer class="shell">
    <p><a href="mailto:jk4864@columbia.edu">jk4864@columbia.edu</a></p>
    <p>Seoul, Korea</p>
    <p>© <span id="year">2026</span> Jeewon Kim</p>
  </footer>

  <script src="main.js" defer></script>
</body>
</html>