Jane Seah is an AI Engineer Associate based in Singapore with nine years of software engineering experience and a strong focus on data engineering and ML-driven search. Currently on the Global Investment Research team at Goldman Sachs, she has progressed from analyst to associate while building production AI features that support research workflows. Her background spans legal tech and cyber analytics—where she improved legal knowledge graphs and developed anomaly detection models—and includes hands-on experience with functional programming (Clojure) and NLP prototypes. A proven mentor and educator from her university roles, she combines rigorous academic training (SMU, exchange at Edinburgh, ML study at Oxford) with a track record of turning research prototypes into internal services that amplify search and classification accuracy.
9 years of coding experience
3 years of employment as a software developer
International Exchange Mathematics and Computer Science, International Exchange Mathematics and Computer Science at The University of Edinburgh
Exeter College Summer Programme Machine Learning & Contemporary Political Philosophy, Exeter College Summer Programme Machine Learning & Contemporary Political Philosophy at University of Oxford
Bachelor of Science - BS (Hon) Information Systems 2nd Major in Analytics (Advanced Technology), Bachelor of Science - BS (Hon) Information Systems 2nd Major in Analytics (Advanced Technology) at Singapore Management University
Singapore-Cambridge GCE Ordinary Level Combined Humanities Double Maths Double Sciences Economics Music, Singapore-Cambridge GCE Ordinary Level Combined Humanities Double Maths Double Sciences Economics Music at Tanjong Katong Girls' School
Singapore-Cambridge GCE Advanced Level China Studies Economics Mathematics Music, Singapore-Cambridge GCE Advanced Level China Studies Economics Mathematics Music at Temasek Junior College
A modern and production-ready personal portfolio + blog template built with GatsbyJs and TailwindCSS
Contributions:49 PRs, 66 pushes, 33 branches in 3 years
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