I work on physical AI, on-device inference, and robotics software.
Vision · Language · Action · On-device inference · Robotics systems
My projects cover robotics, on-device inference, and systems engineering. They include model measurements on edge devices, perception-to-action pipelines, deployment tools, and embedded communication software.
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Physical AI Vision-language-action pipelines, imitation learning, and bimanual robot integration. |
Edge AI Model benchmarking, CPU/GPU-constrained inference, local agents, and device telemetry. |
Reliable systems Off-target tests, artifact rollout and rollback, hardware abstraction, and operations tooling. |
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A local personal agent and activity tracker running on Jetson Orin NX. On-device measurements were used to choose a Qwen3-8B setup and connect it to Life Trainer and Slack.
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A rep-counting and PTZ person-tracking robot built on Arduino UNO Q. MoveNet Thunder INT8, gimbal control, and the web app run together in one Docker container.
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A team project that uses language commands to control a bimanual trash-gathering robot. I worked on the language component, LeRobot adapter, and orchestration; Vision was developed by @yeounhyeok.
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A personal dashboard that collects job openings from eight technology companies. Python crawlers update a static dashboard published with GitHub Actions and Pages.
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A small tool for deploying and rolling back prebuilt ROS 2 artifacts. It verifies the release and switches a
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A 1:N half-duplex nRF24L01+ link for ATmega328P without the RF24 library. The driver and link logic can also be tested on a PC with the included simulator.
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| Area | Tools |
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| Languages | Python · C · C++ · TypeScript · Shell |
| Robotics & AI | ROS 2 · PyTorch · LeRobot · OpenCV · YOLO · LiteRT · llama.cpp |
| Edge & embedded | NVIDIA Jetson · Arduino UNO Q · ATmega328P · serial and radio protocols |
| Systems | Docker · Linux · GitHub Actions · SQLite · ZMQ · WebSocket |
19th of 261 teams — 2026 SW중심대학 디지털 경진대회 AI부문
Macro F1 0.7946 on AI Agent Behavior Inference · Repository
B.S. in AI Applications · Hansung University
Open to conversations about Physical AI, edge inference, and robotics engineering.