"Bridging the gap between 3D Vision Research and Data Engineering."
I am Hyeongju Lee, an engineer with experience in both 3D image processing research and large-scale traffic handling.
I focus on implementing mathematical formulas from papers into service-ready code and designing optimized data pipelines running on AWS infrastructure.
- π¬ Research & Dev: Conducting 3D Reconstruction research in parallel with backend development experience (2.5 years).
- β‘ Scalability: Experience handling large-scale traffic (1,000+ Concurrent Users) through AWS architecture design.
- π Full-Cycle: Leading the entire SDLC from data collection to model training and deployment based on Docker/AWS.
| Status | Conference | Paper Title |
|---|---|---|
| Under Review | ECCV 2026 | Research on 3D Reconstruction preprocessing optimization and overcoming hardware fundamental limits |
| Under Review | ITC-CSCC 2026 | Acceleration of 3D Reconstruction and lightweighting of YOLO-based object detection |
| Accepted | ITC-CSCC 2025 | Algorithmic research for improving 3D Reconstruction quality |
| Document | Description |
|---|---|
| π Resume (PDF) | Professional Experience & Summary |
| π Portfolio (PDF) | Detailed Architecture of WakJMax (Traffic Handling) & Genomics Analysis (Sole Dev) |
Thanks for visiting! π