JOHN DONGYOON KIM
Data scientist with a broad range of practice — from production risk models to military-grade ML research.
Former financial risk modeler at PayPal, where I built consumer credit and fraud detection systems, adversarial model add-ons for CFPB regulatory compliance, and learned to care deeply about finding meaningful financial signals.
After completing mandatory military service as an AI research soldier for the ROK Army, I'm back in financial data: science, engineering, analysis, strategy, and infrastructure.
Data scientist with a broad range of practice and conviction: meaningful financial signals matter, and models should be interpretable, auditable, and compliant by design.
At PayPal I worked as a financial risk modeler — consumer credit risk, fraud detection, and adversarial model add-ons for CFPB regulatory compliance. I learned to build systems that withstand scrutiny and scale.
I completed mandatory military service as an AI research soldier for the Republic of Korea Army — rigorous, deployable ML under tight constraints. Now I'm back in financial data: science, engineering, analysis, strategy, and infrastructure.
I care about signals that hold up under stress, models that explain themselves, and systems that earn regulatory trust.
Publications
Performance Analysis of Multi-Distance Automatic Target Detection Using Synthetic Data with YOLOv8n Model
김동윤， 배기민， 박진우， 이진구， 이장형
The Journal of Korean Institute of Communication and Information Sciences
2024
The Intelligent Mobility Meter–Portable Fine-Grained Data Collection and Analysis of Pedestrian, Cyclist, and Motor Vehicle Traffic
BR Pires, S Ranganath, R Yesson, D Kim, T Sahyoun
Carnegie-Mellon University
2019
Poster
Cognitive-Unburdening Surveillance: Real-Time 3D Reconstruction for Distributed Spatial Awareness
Dong Yoon Kim， Rocky Kim, Jinwoo Park, Jihoon Park, and Beomgeun Seo
The 38th Annual ACM Symposium on User Interface Software and Technology (UIST Adjunct '25)
2025