I am an Undergraduate Research Intern at MINT LAB, Korea University, where I work on Vision-Language-Action (VLA) models and robotic learning systems. My current research involves designing VLA training and data preprocessing pipelines, developing real-time visualization tools for LeRobot LIBERO evaluation, and implementing distributed inference with ZeroMQ.

I am completing my B.S. in Mechanical Engineering at Konkuk University, graduating in August 2026. I ranked in the top 9.1% of my class and received the Dean’s List award in 2025 (GPA: 3.59/4.50; Major GPA: 3.69/4.50).


Research Interests

  • Vision-Language-Action (VLA) Models — training pipelines, simulation evaluation, and real-world deployment
  • Imitation Learning & Robot Learning — data collection, preprocessing, and policy distillation
  • Autonomous Systems — perception, path planning, and vehicle control
  • Computer Vision for Robotics — object detection, segmentation, and sensor fusion

Education

B.S. in Mechanical Engineering — Konkuk University, Seoul (Mar 2019 – Aug 2026, Expected)

  • GPA: 3.59 / 4.50  ·  Major GPA: 3.69 / 4.50  ·  Top 9.1%
  • Dean’s List, 2025

Recent Experience

Undergraduate Research Intern — MINT LAB, Korea University (Nov 2025 – Present)

  • Designing VLA training and data preprocessing pipelines for robotic manipulation tasks
  • Developing real-time visualization tools for evaluating LeRobot policies on LIBERO benchmarks
  • Implementing distributed inference architecture using ZeroMQ for multi-node robot control

Autonomous Driving Team Lead — 4th Int’l EV Autonomous Driving Competition & aMAP Innovator Championship (Jan 2025 – Sep 2025)

  • Led team to 2nd place among 26 international universities at the 4th International University Student EV Autonomous Driving Competition
  • Led team to 4th place out of 38 teams at the aMAP Innovator Championship 2025

Software Team Lead — 2025 Army Chief of Staff Cup National Defense Robot Competition (Jul – Sep 2025)

  • Developed a custom YOLOv8 model for obstacle detection and driving area segmentation
  • Applied ONNX optimization for real-time inference on embedded hardware
  • Built a ROS2-based manipulator control pipeline for autonomous task execution
  • Awarded Hanwha National Defense Award (2nd Place)

Awards & Honors

Year Award Organization
2026 2025 2nd Semester Dean’s List Konkuk University
2025 Minister of Trade, Industry and Energy Award 2025 E2 Festa Creative Capstone Design Competition
2025 Hanwha National Defense Award — 2nd Place (Sponsored by Hanwha AeroSpace) 2025 Army Chief of Staff Cup
2025 1st Place 2025 Hanyang University Consortium Creative Capstone Design Competition
2025 2nd Place (26 international universities) 4th Int’l University Student EV Autonomous Driving Competition
2025 4th Place (38 teams) aMAP Innovator Championship
2025 2025 1st Semester Dean’s List Konkuk University
2024 Bronze Award 4th Dalseo National University Student Invention Idea Contest
2024 Design Award 3rd Future Automobile Software Contest

Skills

Programming: Python, C++

ML / DL: PyTorch, LeRobot, Ultralytics (YOLO), Hugging Face Transformers

Robotics: ROS, ROS2, MuJoCo, CARLA Simulator

Computer Vision: OpenCV, NumPy

Infrastructure: ZeroMQ, Git/GitHub, Linux