KAIST Aerospace Engineering · MLAI Lab · Agent Infrastructure

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I work across ML systems, tools for AI agents, and aerospace guidance and control. I am an Aerospace Engineering undergraduate at KAIST, expected to graduate in February 2028.

• KAIST MLAI Lab — Undergraduate researcher / intern under Prof. Sung Ju Hwang, working on heterogeneous LLM serving across GPU and Apple Silicon systems.
• Pathtent — Co-founder & CTO, building a patent drafting and prior-art platform.
• Airbus Fly Your Ideas — Led In Vitro Firmware Red-Teaming. We reached Phase 2—top 50 of approximately 400 global teams—and did not advance to the three-team final.

• recall — Semantic memory for AI agents without carrying full session history.
• transcribe-cli — Local document-to-Markdown extraction for PDFs, Office files, images, and more.
• code-intel — Lightweight code navigation and intelligence for agent workflows.
• opencode-context-compress — User-controlled context compression for long-running OpenCode sessions.
• GraduateKAIST — Private, client-side graduation planning for KAIST students.
• PINN_Guidance — Physics-informed neural networks for real-time aerospace guidance.

See the full project index →

• Heterogeneous LLM serving · KAIST MLAI Lab · 2026—present

  CUDA prefill → MLX decode disaggregation in SGLang, with current work on serving correctness and end-to-end latency/energy evidence.

• Long-context attention behavior · 2026

  Pilot experiments around RoPE degradation, attention sinks, and position addressability.

• Agentic completion reliability · 2026

  Studying whether intent-grounded, trajectory-aware stop gates can reduce false completion in long-horizon coding agents.

• Aerospace guidance · 2024—2026

  Missile range estimation, cooperative interception, and PINN-based trajectory generation; the PINN track is currently on hold.

_{Busan → Daejeon · KAIST Aerospace Engineering}