CV

B.S. in Computer Science

Korea Advanced Institute of Science and Technology

Selected coursework: Machine Learning, Deep Learning, Operating Systems, Computer Architecture, Systems Programming, Algorithms.

Advisor: Prof. Sehoon Kim

• Researching NVFP4 W4A4 quantization and its performance in looped transformer models.
• Optimizing inference kernels to improve inference speedups.

Independently initiated; subsequently collaborated with Prof. Sehoon Kim (KAIST).

• Built a resource scheduler for on-device LLMs, achieving 2.0× retrieval throughput over a fixed scheduling baseline under the same latency constraint.
• Paper accepted to the NeurIPS 2026 Workshop on On-Device Intelligence.

Advisor: Prof. Falko Kuester

• Evaluated a time-series foundation model for zero-shot anomaly detection on real-world operational data.
• Evaluated proxy anomalies and alert-volume tradeoffs; forecast residuals did not reliably predict genuine failures.

Advisor: Prof. Sung-Eui Yoon

• Evaluated vision-language-action (VLA) policies in simulation under 11 meaning-preserving perturbations: average success fell from 60% to 25%, with structural edits causing the largest drop.

• Built a real-time EEG-to-robotic-arm brain–computer interface using PyTorch.

Lead team practices, game strategy, and intra-university competitions.

Led eight soldiers and interpreted between Republic of Korea and U.S. military personnel.