About
Hi, I’m Ryan. I’m a software and machine learning engineer focused on reliable data systems, developer tools, and infrastructure. I’m a Lead Data Scientist at the Federal Reserve Bank of Boston. My work includes large-scale data platforms, applied modeling, and research tooling.
This site collects my open source projects and technical writing. My background in computer science and statistics shapes how I approach systems design, data, and machine learning.
Technical focus
- Data and ML platforms: Spark, Airflow, AWS data lakehouses, databases, stream processing, and model serving
- Software engineering: Python, SQL, Go, typed APIs, automated testing, packaging, and CI/CD
- Applied ML: classification, clustering, search, model evaluation, and LLM applications
- Infrastructure: Docker, Terraform, Ansible, Linux, REST APIs, and observability
Snapshot
- Location: Boston, MA
- Education: A.B. in Computer Science, secondary concentration in Statistics, Harvard University
- Focus: Software engineering, data and ML systems, and developer infrastructure
- Interests: Distributed systems, databases, Linux, and developer tooling
Source code for this site. AI tools were used in its research and production.
The views expressed here are my own and do not indicate concurrence by the Federal Reserve Bank of Boston, the Board of Governors, or the Federal Reserve System.