Summary
Cynthia Dipaula is a Machine Learning Engineer with 11 years of experience applying analytics and ML across defense, scientific, and financial domains. A Georgia Tech MS in Analytics and a BA in Mathematics and Cognitive Science from UVA underpin her ability to translate mathematical rigor into production-ready models and tools. She has delivered ML solutions at organizations including Leidos, Signature Science, and SIG, and currently drives ML work at VAE, Inc. Cynthia’s background as a TA in discrete math and linear algebra hints at strong pedagogical instincts that help her communicate complex concepts to stakeholders. Quietly versatile, she blends research-minded problem solving with practical software development from internships to enterprise projects.
11 years of coding experience
2 years of employment as a software developer
Master's degree, Analytics, Master's degree, Analytics at Georgia Institute of Technology
Bachelor of Arts - BA, Mathematics and Cognitive Science, Bachelor of Arts - BA, Mathematics and Cognitive Science at University of Virginia