Summary
Sylvie Daines is a software engineer and Drexel CS student with roughly eight years of experience combining production-facing backend engineering and data-focused ML infrastructure. She has built resilient data pipelines and automation at SIG, scaled ML monitoring and inference services at Amazon Robotics using AWS Lambda/Fargate, and shipped full-stack features and developer tooling at FromThePage. Comfortable across Kotlin, C#, Ruby on Rails, Python, and cloud IaC, she’s strengthened observability, reduced latency, and boosted ML training coverage through pragmatic data validation. Sylvie pairs hands-on implementation with infrastructure design—creating reusable CDK constructs and codespace Docker environments—to help teams move faster. Based in Philadelphia, she’s driven by improving reliability and developer experience while learning new systems end-to-end.
8 years of coding experience
3 years of employment as a software developer
Duke Talent Identification Program (TIP) at LSU
Bachelor's degree, Computer Science, 4.0, Bachelor's degree, Computer Science, 4.0 at Drexel University College of Computing & Informatics
4.3, 4.3 at Liberal Arts & Science Academy