Summary
Jessee Kung is a Sr. Staff Engineer and data-focused software developer with a decade of experience building scalable ETL and analytics platforms in security and cloud environments. He combines deep ML research roots—proposing graph attention and hybrid seq2seq models—with hands-on backend work in Python and Go, operating large-scale pipelines on AWS and Google Cloud. At Netskope he built batch and streaming pipelines, cut latencies to sub-minute levels, and automated multi-environment deployments with Terraform and Ansible, while earlier roles at Trend Micro involved training frameworks, SageMaker integration, and processing tens of millions of endpoint telemetry logs per day. Comfortable bridging R&D and production, he also teaches practical ML, reflecting a knack for turning research ideas into operational systems. Based in Taipei, Jessee brings a pragmatic blend of algorithmic curiosity and cloud-native engineering discipline.
10 years of coding experience
15 years of employment as a software developer
BS, Computer Science, BS, Computer Science at National Central University
MS, Computer Science, MS, Computer Science at National Tsing Hua University
English, Chinese