Summary
Connor Gramazio is a Senior Software Development Engineer at Amazon with 12 years of experience building low-latency ML systems, data-driven services, and user-focused visualizations. A Brown PhD and NSF Graduate Research Fellow, he blends HCI and data science expertise to make visualization design more accessible and to architect secure, scalable ML pipelines—especially for sensitive ePHI workloads. At Alexa AI and Amazon Pharmacy he led core NLU training/inference libraries and jump-started production ML initiatives with attention to sub-5ms inference and high-TPS reliability. Equally comfortable in Python, C++, Java, and TypeScript, he ships full-stack solutions from SageMaker/CDK pipelines to frontend prototypes informed by UX research. Based in Somerville, MA, he enjoys multidisciplinary projects that unite engineering, UX, and data to solve practical problems and open-source his research-driven tooling (portfolio: https://gramaz.io).
12 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Brown University
Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at Tufts University