Fun Facts

I once helped develop a BattleCode-style AI competition called ByteFight.

I’m a machine learning and quantitative research enthusiast, always exploring new ways to predict or model the world.

I speak Japanese at an intermediate level and love practising daily conversation.

I enjoy basketball and have recently picked up stationary biking for fitness.

I have a knack for making complex topics simple—whether it’s math, programming, or Japanese grammar.

I’m a big fan of “SpongeBob”

About Me

I’m a fourth-year science/georgia/atlanta">Computer Science student at Georgia Tech with a strong passion for machine learning, quantitative research, and AI development. I enjoy tackling complex problems, from building predictive models to designing AI competitions, and I love turning challenging concepts into practical solutions. Outside of tech, I practice Japanese, stay active with basketball, and appreciate clever humor. I thrive in environments that combine curiosity, creativity, and problem-solving.

Experience

have gained hands-on experience in quantitative research, machine learning, and AI development through academic and personal projects. At Georgia Tech, I designed factor risk models for portfolio optimization and contributed to ByteFight, a BattleCode-style AI competition, building infrastructure for testing and deploying algorithms. I am also developing a grammar-checking system and an interactive Japanese learning chatbot using NLP techniques.

Approach

My approach to tutoring emphasizes understanding concepts deeply rather than memorizing procedures. I focus on breaking down complex topics into clear, manageable steps and tailoring explanations to each student’s learning style. I encourage active problem-solving, asking questions, and applying ideas in practical examples to reinforce comprehension. I aim to build both confidence and curiosity, helping students develop the skills to tackle new challenges independently.