Led the iClear3D Project, focusing on medical imaging enhancement

Built dataset, trained models, and developed AI algorithms to enhance low-quality fetal ultrasound images while preserving medical integrity

Ensured zero introduction of medical malformations in enhanced images through rigorous validation

Successfully built and deployed 10+ AI solutions, overseeing the entire process from pipeline design to implementation single-handedly.

Key projects:

• Fetal image reconstruction

• Babyface generation (for Humanscape, Momitalk)

• Category/property tagging (for Rapportlabs, Queenit)

Entered with the Postech Presidential Fellowship, awarded to standout students for exceptional achievements in research, entrepreneurship, and development, with support funding up to $50,000.

Leave of Absence after semester 1