Darren Weber is a senior software engineer with over two decades of experience designing data-intensive, production-grade systems across climate, logistics, and healthcare domains. He specializes in building reliable data platforms, ML pipelines, and backend APIs using Python, FastAPI/Django, event-driven architectures, and AWS serverless/containers to turn messy, petabyte-scale data into trustworthy, maintainable services. His background as a cognitive neuroscientist (Ph.D.) and UCSF postdoc gives him atypically strong modeling instincts, a rigorous approach to data quality, and a focus on reproducible analysis pipelines. Darren has led architectures for serverless map-reduce APIs on climate GeoTIFFs, engineered labeled-data flows for healthcare ML, and optimized logistics platforms with asynchronous event-driven workflows. He prefers mission-driven work—climate, ecology, healthcare, and research-grade systems—and combines deep technical thinking with pragmatic execution and strong test and deployment discipline. Based in Lakeport, CA, he’s open to senior/staff IC roles and selective consulting or advisory engagements.
13 years of coding experience
27 years of employment as a software developer
A.S. Mathematics Computer Science, A.S. Mathematics Computer Science at College of Marin
PhD Cognitive Neuroscience, PhD Cognitive Neuroscience at The Flinders University of South Australia
Postdoctoral Fellow Cognitive Neuroscience, Postdoctoral Fellow Cognitive Neuroscience at University of California, San Francisco
Contributions:15 PRs, 104 pushes, 31 branches in 6 months
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