Summary
Yang-jung Chen is a software engineer and incoming Columbia MS student with 8 years of experience building scalable backend systems and production ML-backed features. He has shipped cost- and incident-reducing infrastructure changes at regional scale—migrating Lambdas to Kubernetes, cutting service incidents with distributed Redis locks, and integrating AI chatbots to save $500K annually. On the research side he co-authored AuraFusion360 (CVPR 2025) on 3D object removal for 360° scenes, improving PSNR and LPIPS via depth-aware diffusion fine-tuning, highlighting a rare blend of production engineering and cutting‑edge computational photography. He’s delivered measurable product impact across marketplaces and fintech integrations, including a BNPL rollout that drove 20% revenue lift, and represents a cross-cultural background with diplomatic experience representing Taiwan abroad. Practical, metrics-driven, and research-savvy, he thrives at the intersection of backend reliability and applied machine learning.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at National Chiao Tung University
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Columbia University