CV

Undergraduate Student Intern

Machine Learning Lab, POSTECH

Advised by Prof. Sangdon Park.

• Theoretical Safety Guarantees under Risk: Developed theoretical guarantees to bound and control risk in target deployment scenarios, ensuring safe behavior under real-world distribution shifts.

Jr. Data Scientist Intern, Data Science Team

Bagelcode

• MLOps Pipeline Development & Expansion: Analyzed Airflow and Databricks-based data processing architectures to build and support MLOps pipelines for churn prediction models using user behavior data.
• Data Engineering & Optimization: Extracted and validated feature store/inference datasets via complex SQL, and transitioned ETL workflows from full-refresh to incremental processing, significantly reducing compute costs and improving pipeline efficiency.

Intern, AI Solution Team, Innovation Center (now AX/PI Center)

Samsung Electronics, Device Solutions (DS)

• Automated Anomaly Detection: Implemented and evaluated the Anomaly Transformer model on real manufacturing data to automate manual inspection processes.
• Practical Validation & Feasibility: Identified real-world deployment challenges and limitations, providing insights into improving model reliability and automation potential.

Integrated M.S./Ph.D.

POSTECH, Graduate School of Artificial Intelligence (GSAI)

Artificial Intelligence

• Machine Learning Lab (Advisor: Prof. Sangdon Park)

B.S.

Pohang University of Science and Technology (POSTECH)

Computer Science and Engineering

High School Diploma

Korea Science Academy of KAIST (KSA)

POSTECHIAN Fellowship ($2,000)

POSTECH

Second Prize, 2023 TECHATHON: WAVE

POSTECH

Encouragement Award, 2021 Undergraduate Group Research Program

POSTECH