Vanessa Arndorfer is a software engineer with nine years of experience, currently building cloud services on the Azure Machine Learning Asset Management team in Seattle. She holds an MS in Computer Science & Software Engineering and a BS in Mathematics and Computer Science, and has a track record of shipping cross-platform webhook automation and CI/CD integrations that streamline ML workflows. Her background spans machine learning research—developing CNNs and synthetic signal augmentation at Virginia Tech—to practical cloud deployments and backend notification systems at Microsoft. Vanessa is comfortable bridging researcher and engineering perspectives, having leveraged data scientist feedback to iterate features that enabled new customer onboarding. Colleagues know her for clear documentation and demo-driven collaboration across teams, and for turning experimental ML prototypes into reliable production services.
9 years of coding experience
4 years of employment as a software developer
Virginia Tech
Master of Science - MS, Computer Science & Software Engineering, Master of Science - MS, Computer Science & Software Engineering at University of Washington Bothell
⚡ Building applications with LLMs through composability ⚡
Contributions:1 push, 2 branches in 1 day
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.