Research GAP
An evidence-aware way to explore a research question. It brings relevant literature, source-linked findings, and possible gaps into one inspectable first pass.
I'm Temuujin — an AI and data science student building useful things at the intersection of research, machine learning, and human experience.

THE PORTFOLIO / 01—04
From evidence-led research tools to learning how language models work under the hood.
An evidence-aware way to explore a research question. It brings relevant literature, source-linked findings, and possible gaps into one inspectable first pass.
An independent small language-model project. I'm building the pipeline from text and tokenization through architecture, training, evaluation, and eventual inference.
A system that parses online store items, predicts fair prices with machine learning, and alerts when a listing looks undervalued.
A real-time finger-tracking experiment that turns hand motion into on-screen drawing with low-latency landmark detection.
02 / A LITTLE ABOUT ME
I'm a student at Kookmin University in Seoul, exploring how intelligent systems can make research and everyday work clearer and more useful.
My interests span machine learning, deep learning, computer vision, and language models. I like understanding the whole pipeline — from data and model training to the experience people actually use.
TOOLS & THINKING
A growing toolkit for practical, thoughtful AI work — from the first experiment to a more efficient model.
Python, JavaScript, Java, C++, Bash, MySQL
PyTorch, scikit-learn, neural networks, transformers
Data processing, research synthesis, computer vision
Exploring faster, leaner training and inference through modern GPU techniques.
03 / CONTINUOUS LEARNING
Coursework that helped me turn theory into hands-on practice. Select a certificate to view it.
NEXT / LET'S CONNECT