2022 — Now
San Francisco Bay Area
Led the migration of Oracle’s receipt recognition product from traditional ML models to a GenAI-powered, multi-tenant architecture, improving scalability and delivering 15–20% accuracy gains in core expense fields. This directly advanced Oracle’s Touchless Expenses initiative, enabling customers to create expenses automatically by simply uploading or photographing receipts.
Contributed to the mass architectural shift toward the new BOSS architecture, refactoring legacy codebases to support Oracle’s latest expense automation platform.
Designed and delivered agentic flows for unstructured document uploads, automating parsing and structured extraction across PDFs, images, emails, and other formats.
Developed cloud-native microservices and REST APIs (Java, Helidon, Kubernetes) integrated with Oracle ERP, ensuring scalability, reliability, and enterprise adoption.
Collaborated with cross-functional teams (engineering, product, QA) to deliver features end-to-end, from backend services and GenAI pipelines to model evaluation and customer-facing workflows.
New York, United States
Completed the following relevant coursework: Artificial Intelligence, Applied Deep Learning, Natural Language Processing, Computer Vision, Cloud Computing, Advanced Software Engineering, Advanced Database Systems, Computer Networks, Analysis of Algorithms, 3D UI and Virtual Reality
Seoul, South Korea
Devised and managed AWS cloud architecture for AI-based skin evaluation system at MedySapiens, a biotech startup in Series-A
specializing in cognitive computing for healthcare
Expedited labeling medical image dataset by integrating AWS Sagemaker into workflow
Improved classification accuracy of skin damage in new image dataset by 5%
Greater New York City Area
Columbia Computer Graphics and User Interfaces Lab (CGUI)
Developed a VR platform with Unity that allows multiple users to simultaneously interact with a map embedded with geotagged data (social media, real-time traffic, etc)
Integrated Instagram and Yelp data to the platform and created map navigation functionalities
Columbia Computational Design Lab
Built a Proof of Concept web application on which scientists can publish their work in the form of Twitter threads
Columbia Computer Vision Laboratory (CAVE)
Designed and deployed database of news articles to AWS cloud for the Cross Cultural Analysis Project, which aims to distinguish cultural differences between two countries presented in video news
Implemented automation of keyword extraction and its analysis from video data
Optimized search queries for video data collection by providing blacklist and whitelist words
Greater San Diego Area
Enhanced test frameworks for computer vision applications on Snapdragon 855 chip for Samsung Galaxy S10
Generated Python test scripts for DENSO robot arm to physically test the Snapdragon X50 5G modem
Initiated and composed internal Python programming guide for the DENSO robot arm
Education
Columbia University
Master's degree
Columbia University
Bachelor of Science (B.S.)
Seoul Foreign School