Dan Lamanna is a Principal Engineer with 14 years of experience building production-grade backend systems and cloud infrastructure, currently leading efforts at Kitware to operationalize research algorithms and maintain large-scale open medical data repositories. He specializes in PostgreSQL, Python/Django, Elasticsearch, and Terraform on AWS/GCP, and has designed low-latency faceted search, streaming dataset exports, and FAIR-compliant integrations for petabyte-scale archives. Dan has built end-to-end annotation platforms that handle both crowdsourced and in-house workflows, including asynchronous video frame interpolation and complex orchestration between annotation stages. He brings uncommon rigor to data pipelines, using formal methods like TLA+ to prevent race conditions and data loss, and has extensive experience running Kubernetes clusters that serve spike-driven CI workloads. An active open-source contributor, he’s improved core tooling such as networkx’s GraphML handling and enhanced geospatial and data-management projects like geonotebook and Girder. Based in New York, he pairs hands-on engineering with people leadership—having conducted 100+ technical interviews and mentored teammates on architecture and production operations.
14 years of coding experience
4 years of employment as a software developer
Bachelor of Science (B.S.), Computer Science, Bachelor of Science (B.S.), Computer Science at SUNY Albany
Computer Information Systems, Computer Information Systems at Hudson Valley Community College
A data management platform for the web, developed by Kitware
Role in this project:
Backend Developer
Contributions:1 release, 1 review, 493 commits in 4 years 10 months
Contributions summary:Dan contributed to the Girder project by implementing an ACL (Access Control List) mixin for models and resources. They refactored existing models and API resources to utilize the new ACL mixin, switching from a custom access verification system to a permissions-based decorator approach. Additionally, the user modified several API endpoints to incorporate the new ACL features, specifically targeting the file and item models, thereby enhancing the project's security and data management capabilities.
A Jupyter notebook extension for geospatial visualization and analysis
Role in this project:
Full-stack Developer
Contributions:92 commits, 39 PRs, 101 pushes in 9 months
Contributions summary:Dan's contributions centered around enhancing the geospatial visualization and analysis capabilities of the geonotebook extension. They refactored the JavaScript code, implemented features like Promise support, and refactored UI components by inlining CSS. Furthermore, the user added server-side functionality by incorporating annotations and map state serialization. They also focused on improving the project's infrastructure, including server extension installation and fixing issues within the documentation and build systems.
pythongeospatialopengeosciencenotebookanalysis
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