Ki-Ung Song

Hello, I'm Ki-Ung Song. My dream is to create a positive impact on the world through AI and mathematics. My goal is not merely to be an engineer or researcher but a problem solver who drives solutions with these powerful tools.

I majored in mathematics because I found it enjoyable and aspired to become a quant tackling challenges in the financial sector. However, witnessing AlphaGo during my freshman year inspired me to explore challenges across diverse fields. This motivated me to deepen my studies in mathematics and optimization, ultimately realizing the potential of combining AI with mathematics to create a meaningful impact.

I have a strong interest in diverse fields of AI, encompassing both theoretical foundations and practical applications. I am passionate about AI research focused on real-world challenges, striving to make a tangible difference in people's lives.

My current interests are:

• LLM & VLM Application
• DL for Simulation
• AI for Finance

I am currently an AI Research Engineer at Nota AI, focusing on delivering the value of AI to more people through edge devices and model compression. My work aims to make AI more accessible, efficient, and impactful in real-world applications.

I believe people can remain curious and continue growing throughout their lives, even to their final moments. This belief fuels my passion for learning and trying new things. I strive to embrace every opportunity to challenge myself, exploring new ideas and pushing the boundaries of my abilities.

I am best reached by email at sk851@snu.ac.kr. Feel free to reach out about my project, research or anything else I might be able to help with. You can also find me on GitHub, Google Scholar, and LinkedIn for more information.