Summary
Ying Lua is a Senior Engineer specializing in AI-driven computer vision with seven years of experience applying deep learning to real-time video, satellite imagery segmentation, and image captioning. Trained at Imperial College London (MEng, First Class) with further study in Advanced Computer Vision at Carnegie Mellon, she blends strong mathematical foundations with hands-on engineering across software and digital electronics. At DSTA she progressed from engineer to senior engineer, shipping prototypes and production-ready systems for action recognition, object detection, and facial recognition. Early internships at IBM and SAS produced accessible assistive tech (a Makaton sign interpreter) and client-focused ML prototypes, showing she balances research-level models with practical deployment. Outside work she manages a personal investment portfolio, reflecting quantitative discipline and an appetite for applied problem solving beyond engineering.
7 years of coding experience
2 years of employment as a software developer
Singapore-Cambridge GCE A-Levels, 7 Distinctions, Singapore-Cambridge GCE A-Levels, 7 Distinctions at River Valley High School
Master of Engineering - MEng, Electronic and Information Engineering (Computer Engineering), First Class Hon, Master of Engineering - MEng, Electronic and Information Engineering (Computer Engineering), First Class Hon at Imperial College London
Advanced Computer Vision, Advanced Computer Vision at Carnegie Mellon University
Non-graduating, Linear Algebra, Non-graduating, Linear Algebra at National University of Singapore