Resume
A snapshot of my education, experience, and skills.
Design and deploy machine learning models for real-time animal behaviour classification and health-event detection — both on-device and server-side.
Developed and deployed advanced machine learning and LLM-driven solutions for complex real-world challenges in aerospace applications.
Supported teaching in robotics and intelligent-systems courses (COMPSYS 726 Robotics & Intelligent Systems, 731 Human-Robot Interaction, 732 Mobile Autonomous Robotics) — labs, projects, and student guidance.
Mentored five student teams on real-client business projects, advising on project management, technical solutions, and stakeholder communication.
Conducted research on robotics and human-robot interaction, contributing to software and autonomous-system development.
Designed and implemented a machine-learning-driven autopilot system for unmanned vehicles, plus a user-friendly interface for real-time navigation, control, and system monitoring.
Thesis: “Enhancing Reinforcement Learning Efficiency: Novel Distributed Algorithms, Human-Inspired Reward Mechanisms, and State-Space Analysis for Simulated and Real-World Applications.” Focus: model-free RL, deep learning with human-inspired solutions, and robot manipulators.
Thesis: “Neurobiological-Inspired Control of Multiple Quadrotors Using BELBIC and Fuzzy Logic.” Focus: robotics and machine learning.
Studied Korean language and culture, reaching proficiency for academic and professional settings.
Thesis: “SA3M: An Interactive Robot to Provide Support for the Elderly.” Focus: electronics and control systems.
Selected participant in the Annual Postdoctoral Networking in Artificial Intelligence program.
Awarded by the Centre for Automation and Robotic Engineering Science (CARES) for doctoral research in robotics and reinforcement learning.
Fully funded graduate studies in robotics and intelligent systems at a top Korean research institution.
National-level recognition for an engineering thesis on robotics and computer vision.