Summary
Mel Day is a multidisciplinary software engineer and aspiring data librarian with 11 years of experience building robust data systems across startups and large tech teams. Currently splitting time between senior NoSQL and cloud database engineering at The RealReal and library work in Rochester, NY, Mel designs Kafka, DynamoDB, OpenSearch and Kubernetes-based observability stacks and CI/CD pipelines. Their background spans physics PhD research, high-performance C++ data processing for sensor and scientific workloads, and production ML/Cloud work at companies like Zymergen and Digital Diagnostics, giving them deep expertise in data pipelines, CDC, and search. Mel pairs rigorous research instincts with practical infrastructure skills—able to move from database schema and migrations to deploying test/staging/production environments—while pivoting toward information science through an MLIS. Notably, they’ve scaled TB-scale scientific databases and accelerated pattern-recognition algorithms by orders of magnitude, a blend of performance-focused engineering and information stewardship.
11 years of coding experience
10 years of employment as a software developer
Bachelor of Science (B.S.) Physics, Bachelor of Science (B.S.) Physics at Rochester Institute of Technology
Computer Science, Computer Science at Coursera
Master of Library & Information Science - MLIS, Master of Library & Information Science - MLIS at Syracuse University
Doctor of Philosophy (PhD) Physics, Doctor of Philosophy (PhD) Physics at University of Rochester
English, Japanese