About

I am a Mechanical & Computer Engineering student focused on optimal control, numerical optimization, and dynamics, building nonlinear solvers, real-vehicle autonomy integrations, telemetry software, and analysis tools for robotics, autonomous systems, and vehicle dynamics.

From games to real vehicles

The thread behind every project is the same: I like making systems, not just using them — a habit that started in games.

Current Work

Recent work includes a Hyundai Ioniq mapless parking system, a C++/Python ballistic interception solver, and RTK/GNSS telemetry collection and analysis tools for racing data.

Research Experience

• Undergraduate Research Intern / Autonomous Driving Team Lead, HuVILab (Tech University of Korea / 한국공학대학교)
  (2026–Present)
  Focus: real-vehicle mapless autonomous reverse parking, planning/control under constraints, and driving coaching systems based on trajectory analysis and feedback generation.

Engineering Experience

• Racing telemetry runtime / monitoring / analysis collaboration with Luxon Racing Team
  Built a Raspberry Pi telemetry runtime around a u-blox ZED-F9R GPS/IMU receiver with startup configuration, RTK/NTRIP correction input, buffered CSV/UBX logging, and operational monitoring for field use.
• Extended the same workflow with a browser-based remote monitoring path and a segment-based telemetry analysis GUI for visualization and coaching-oriented run inspection in the GTA class of the O-NE SUPERRACE CHAMPIONSHIP.

Technical Areas

• Vehicle autonomy: ROS 2, FAST-LIO odometry, C++ occupancy-grid parking, delay-aware tracking, and CAN-facing command paths.
• Numerical methods: RK4 integration, auxiliary residual design, damping, convergence handling, and solver diagnostics.
• Telemetry systems: GNSS/RTK collection, logging, monitoring, replay, and analysis loops tied to real operations.
• Interfaces: C ABI boundaries, Python bindings, launch files, dashboards, and user-facing analysis tools.

Technical Strengths

• Dynamics and numerics: RK4 integration, auxiliary residual design, damping, convergence handling, and solver-facing diagnostics.
• Systems integration: ROS 2 messages, timing/TF alignment, runtime composition, Autoware-compatible command paths, CAN-facing vehicle interfaces, and multi-stage engineering flows.
• Telemetry and field tooling: GNSS/RTK collection, logging, monitoring, replay, and analysis loops tied to real operations.
• Packaging and interfaces: C ABI boundaries, Python bindings, deployable runtime configuration, and user-facing analysis tools.

Leadership

• Autonomous Driving Team Lead, HuVILab undergraduate research team — technical direction, integration planning, and project coordination.
• President, 50-member fashion club — member operations, event planning, and team coordination outside an engineering context.

Awards

• KSAE 2024 Smart e-Mobility Competition (EV Division) — Encouragement Prize (Honorable Mention)