John Darrington is a Staff Engineer with 11 years of experience building scalable software and resilient developer communities, currently based in Portland, Maine and working at Qualcomm after Exostellar’s acquisition. He excels at connecting people and organizations to drive positive change, blending hands-on architecture and full-stack development with community building and mentorship. His recent roles at Idaho National Laboratory involved leading digital twin and data warehouse initiatives (DeepLynx), integrating legacy 3-D systems via .NET APIs and designing TypeScript/Node.js ingestion pipelines. He has a track record of shipping production systems in Go, MySQL, and modern web stacks, plus running a software consultancy and founding a successful community-focused product. Comfortable managing distributed teams and stakeholder collaboration, he pairs technical leadership with a talent for turning complex domain needs into practical, open solutions. Notably, he often positions himself as the “common link” between large communities—helping technical projects scale socially as well as technically.
DeepLynx is a unique data warehouse where users can provide a custom ontology and have their data stored under said ontology in a graph-like format. DeepLynx is written in Node.js and Rust and is actively maintained.
Contributions:66 releases, 58 reviews, 1039 commits in 2 years 6 months
Contributions:3 releases, 61 commits, 1 PR in 1 month
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