Ki-Ung Song

Hello, I'm Ki-Ung Song. My dream is to change the world through problem solving. In any role, whether as an engineer, researcher, or beyond, I strive to be a problem solver, harnessing my strengths in AI and mathematics to make a meaningful impact.

I majored in mathematics because I enjoyed it and initially aimed to become a quant. However, witnessing AlphaGo during my freshman year led me to explore broader challenges, deepening my studies in mathematics and its applications and recognizing how AI and mathematics can drive meaningful impact.

I have a deep interest in diverse fields of AI, spanning both theoretical foundations and practical applications. I focus on tackling real-world challenges and creating tangible impact through AI.

My current interests are:

• LLM & VLM Application with Model Compression
• DL for Simulation
• AI for Finance

I am currently an AI Research Engineer at Nota AI, working to make AI more accessible and efficient. I focus on optimizing AI models to bridge the gap between research and real-world applications.

I believe in lifelong curiosity and continuous growth. This mindset drives me to embrace challenges, explore new ideas, and push my boundaries.

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