Summary
Jiyoon Jeong is a software development engineer with 9 years of cross-disciplinary experience bridging finance, statistics, and embedded systems to build reliable, production-grade software. After starting as a financial analyst, she transitioned into software engineering and has since delivered automation, security hardening, and CI/CD improvements for embedded and AR image-processing projects, and now contributes to Amazon Alexa Voice AI at Lab126. Her work blends strong statistical foundations from UC Berkeley and an MS in Computer Science with hands-on systems programming in C, Python, and Bash—highlighted by large static-analysis remediations and automated test frameworks that saved teams dozens of hours weekly. Comfortable working from kernel to application layer, she has a track record of uncovering bugs and security hotspots and modernizing legacy Yocto/Petalinux stacks. Curious and data-driven, she actively explores intersections between finance and software engineering to inform product decisions and risk-aware engineering.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Arts (B.A.) Statistics (Cluster : Mathematics and Economics), Bachelor of Arts (B.A.) Statistics (Cluster : Mathematics and Economics) at University of California, Berkeley
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Northeastern University
English, Korean