Interest
Data → Signal → Model → Decision
Statistics, Machine Learning, AI, Quantitative Finance, Game Theory, Social/Economic Modeling
Work Experience
Huawei, Hong Kong SAR
Research & Software Intern (Incoming) Dec 2025 – Mar 2026I will work on optimizing LLM inference in C++ with a focus on transformers, tensor operations, decoding, and cache efficiency.
IBS Biomedical Mathematics Group, South Korea
Machine Learning Research Intern Dec 2024 – June 2025Developed ML pipelines for classifying sleep disorders and contributing to two research projects.
Mercor
AI Reasoning Expert & Mathematical Problem Designer Sep 2025 – Dec 2025Designed mathematical reasoning problems for IMO Frontier Math project. Created challenging problem sets testing advanced mathematical concepts and logical reasoning for AI model evaluation.
Users & Informations Lab, KAIST
Undergraduate Researcher, Project: ChatGPT Voices Aug 2024 -- Dec 2024Built a cultural benchmark dataset for low resource language and evaluated LLMs on language and reasoning tasks. Coauthored research paper accepted into AACL-IJCNLP 2025 Workshop.
Data Strategy Lab, KAIST
Research Intern Apr 2024 – May 2024Studied fairness in AI; reviewed and researched bias mitigation techniques.
Other Experience
Art of Problem Solving (AoPS)
Olympiad Math Grader 2023 – PresentGraded advanced mathematics olympiad problems and provided detailed feedback to students participating in math competitions.
Technical Skills
Programming Languages & Frameworks
Data Science & Machine Learning
Python: NumPy, Pandas, Scikit-learn, PyTorch, Matplotlib, Seaborn, SciPy
Backend Development
Python: Django, Flask, FastAPI, REST APIs
Systems & General Purpose
C++ (STL, algorithms), C, Java, Scala, F#, SQL
Software Engineering
Object-Oriented Programming (OOP), Algorithm Design, Functional Programming, Concurrency, Multithreading, Parallel Computing
Tools & Technologies
Git, Terminal, Shell Scripting, Anaconda, LaTeX, PowerPoint, Jupyter, Docker
Mathematics & Statistics
Linear Algebra, Calculus, Probability, Statistics, Optimization, Numerical Methods, Mathematical Modeling, Stochastic Processes
Projects
Volatility Inference with SDEs & Data Assimilation
- Estimated instantaneous volatility of cryptocurrency by combining a Heston-lite SDE with Kalman and Particle Filter; absolute log returns used as ground truth. Kalman R² ≈ 0.9998, Particle Filter R² ≈ 0.48–0.67, GARCH R² ≈ 0.09–0.17. Both filters outperform traditional GARCH models.
- Estimated smoothed volatility of cryptocurrency by combining a mean-reverting SDE with Kalman and Particle Filter; 100-period rolling std used as ground truth. Kalman R² ≈ 0.996–0.997, Particle Filter R² ≈ 0.995–0.999, GARCH R² ≈ 0.33–0.63. Both methods outperform GARCH for smoothed volatility tracking.
SignalCraft: Crypto Alpha Discovery System
Developed a modular pipeline to identify and backtest predictive signals from crypto spot data. Achieved ~52% hit rate and Sharpe ratio > 1 using ensemble models and adaptive trading strategies.
GitHubReal-time Sarcasm Detector
Built a BERT-based sarcasm classifier with Hugging Face and TweetEval for real-time inference.
GitHubAI-powered File Organizer
Created a real-time file sorter using NLP and vector similarity to classify content-based documents.
GitHubStatistical Decision Making - Class Project
Used Bayesian inference and classification to optimize inventory and healthcare decision models.
GitHubHonors & Awards
Certifications
Bloomberg Market Concepts (BMC)
Comprehensive financial markets education covering Economics, Currencies, Fixed Income, and Equities.
🏆 View CertificateLeadership and Volunteer Experience
Tutor
Tutored KAIST freshmen in Calculus and Programming; mentored students for math olympiads.
Country Representative
Handled student finances and onboarding; facilitated communication with faculty and student body.
Other Interests
Competitive Chess
Top 1% on Chess.com; winner of national and regional tournaments.