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Applied Scientist

Relativity

Developing end-to-end Generative AI products for legal tech, focusing on model monitoring, evaluation, and multi-modal AI systems.

• Developed end-to-end Generative AI product from project kick-off to model monitoring and control plans
• Built schema-driven LLM evaluation pipeline using Pydantic
• Implemented multi-stage validation testing environment using Python, Prefect, and Kubernetes
• Delivered MVPs for early-stage multi-modal AI initiatives across US, UK, and EMEA clients

Graduate Research Assistant

GLASER Lab, Department of Neurology, Feinberg School of Medicine

Developed explainable ML/DL models for interpreting complex neural interconnectivity across multi-region brain activities.

• Applied GRU, LSTM, and RNN for modeling brain circuit dynamics
• Enhanced interpretability of neural connectivity through time-series forecasting

Applied Science Intern

Relativity

Built and deployed multi-modal AI system for e-discovery processes in production environment.

• Built and deployed multi-modal AI system for early-access customers
• Implemented GPT vision model pipeline using Databricks and Spark
• Managed versioning and deployment using Docker containers with Prefect in Kubernetes

SCM Analyst

Samsung Electronics, America

Optimized supply chain efficiency by managing logistic data and forecasting

• Forecasted OTRQ/OTD data and tracked weekly RTF using Samsung ERP system
• Calculated container allocation based on CPFR plan demand and predicted weekly demand
• Developed Python automation for direct shipment management, reducing manual preprocessing time

Data Scientist Summer Intern

Akai Kaeru LLC

Performed end-to-end software testing and data pipeline development

• Conducted Alpha Testing to identify bugs and enhance user experience
• Built end-to-end data pipeline using Spotify API for popularity analysis and visualization

Director, YG National Board

Korean American Scientists and Engineers Association (KSEA)

Supporting growth of regional Korean American Young Generation groups across the U.S. (~290 members)

• Help organize events and guide new group formations
• Coordinate communication between regional chapter leaders and national committee

Organizer, IMPACTs 2025 National Conference

Korean American Scientists and Engineers Association (KSEA)

Helped organize national conference (200+ attendees) focused on AI-empowered career growth and leadership development

• Coordinated program planning and speaker outreach
• Fostered collaboration between industry mentors and young professionals

Vocalist

Music and Medicine, Stony Brook University

Performed music for patients and residents at hospitals and nursing homes

Vocalist

THUMB (Seoul Music Composition Club)

Performed as vocalist and managed practice sessions for a music composition club in Seoul, South Korea

University Global Ambassador, Vice Chair

Ajou University

Served as vice chair under the international office to support exchange students from various countries

• Helped exchange students adjust to Korean culture
• Organized and held international events

Master of Science

Northwestern University

Artificial Intelligence

• Foundations of Reliable Machine Learning
• Frameworks for Artificial Intelligence
• Law and Governance of AI
• Knowledge Modeling Relationships with Causal Inference
• Scalable Software Architecture

Bachelor of Science (Dual Degree)

Stony Brook University

Computer Science, Applied Mathematics and Statistics

• Natural Language Processing
• Machine Learning
• Applied Linear Algebra
• Systems Fundamentals

International Summer School

University of Bayreuth

Economics & Management

• Economic Growth, Development and Migration
• International Management

Bachelor of Science (Dual Degree)

Ajou University

Industrial Engineering

• Human Factors Engineering and Lab
• Quality Engineering
• Operation Research
• Discrete Mathematics
• Engineering Economy

Red Teaming Attacks and Defending Attacks on LLMs

How can we evaluate and improve the safety and alignment of Large Language Models against adversarial attacks?

• Investigated methods for enhancing AI alignment and reducing biases
• Explored model harmfulness and balancing safety

Image Classification: AI-Generated Versus Authentic

Can we distinguish between AI-generated and authentic human faces using deep learning techniques?

• PyTorch, Python, dlib, XceptionNet (CNN), UniversalFakeDetect (GAN)

Amazon Product Predictor

Can we accurately predict product ratings solely based on the sentiment and content of customer reviews?

• PyTorch, Python, HuggingFace Transformers, DistilBERT

Correct Gait Recommender

Can smartphone sensors be used to analyze gait patterns and provide real-time ergonomic feedback?

• JavaScript, TensorFlow, Firebase, Android Studio, DNN

Covid Infection Prevalence Rate Predictor

How can we predict an individual's vulnerability to COVID-19 infection based on their movement and location history?

• MySQL, TensorFlow, Python, Microsoft Access, Deep Neural Network

Improvement of Economic Performance Indicators using Big Mac Index

Does the Big Mac Index accurately reflect market realities, and can we create a more robust economic indicator by combining it with other metrics?

• Python, PCA Analysis, Correlation Analysis, Economic Indicators