Summary
Lauren Singer is a Senior Software Engineer in New York with six years of experience building data-focused systems at Google, Disney, Red Hat, and Fidelity. She specializes in data integrity and corruption detection at scale, applying rigorous monitoring and detection techniques to surface silent hardware and software failures. Her background blends a Master of Computer Science with a mechanical engineering foundation, giving her a systems-minded approach to both software architecture and empirical problem solving. Past roles include improving media supply chains and integrating Elasticsearch for streaming platforms, and implementing caching and async pipelines for cloud cost tooling. She has a track record of turning complex data inconsistencies into reliable, production-ready solutions and brings practical research experience from work on autoencoders and experimental biomechanics. Colleagues know her for combining curiosity-driven experimentation with a pragmatic focus on observability and data correctness.
5 years of coding experience
7 years of employment as a software developer
Master of Computer Science, Master of Computer Science at North Carolina State University
Bachelor of Science (B.S.), Mechanical Engineering, Bachelor of Science (B.S.), Mechanical Engineering at University of North Carolina at Wilmington