Interest:
Data -> Signal -> Model ->Decision
Statistics, Machine Learning, AI, Quantitative Finance, game theory, Social/Economic Modeling
Work Experience
IBS Biomedical Mathematics Group, South Korea
Machine Learning Research Intern
Dec 2024 – June 2025
Developed ML pipelines for classifying sleep disorders and contributing to two research projects.
Users & Informations Lab, KAIST
Undergraduate Researcher, Project: ChatGPT Voices
Aug 2024 – Dec 2024
Built a cultural benchmark dataset for low resource language and evaluated LLMs on language and reasoning tasks. Coauthored Research Paper in submission.
Data Strategy Lab, KAIST
Research Intern
Apr 2024 – May 2024
Studied fairness in AI; reviewed and researched bias mitigation techniques.
Projects
Currently working on:
Volatility Inference with Stochastic Differential Equations and Data assimilation:
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SignalCraft: Crypto Alpha Discovery System
Python, Quant Research, Backtesting – GitHub
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.
Real-time Sarcasm Detector
Python, PyTorch, NLP – GitHub
Built a BERT-based sarcasm classifier with Hugging Face and TweetEval for real-time inference.
AI-powered File Organizer
Python, AI/ML – GitHub
Created a real-time file sorter using NLP and vector similarity to classify content-based documents.
Bayesian Filtering and Data Assimilation with Python
Python – GitHub
Implemented Kalman and Particle Filters for state estimation in noisy time-series environments.
Statistical Decision Making - Class Project
Python – GitHub
Used Bayesian inference and classification to optimize inventory and healthcare decision models.
Honors & Awards
- Top Quartile, Best-in-University Jane Street Prize – Simon Marais Mathematics Competition, 2024
- Bronze Medalist – International Mathematical Olympiad (IMO), 2020, 2021
- Bronze Medalist – Asian Pacific Mathematical Olympiad (APMO), 2021, 2022
- Bronze Medalist – Bangladesh Olympiad in Informatics, 2022
- Competitive Programming – Candidate Master (94th percentile), Codeforces; 5★ (99th percentile), Codechef
Leadership 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.