David Streett is a Staff Software Engineer with 11 years of experience building production-grade, customer-facing systems across bioinformatics, oncology, automotive tech, and ad tech. He specializes in backend architecture and performance-sensitive C++11 and Python systems, while also delivering full-stack web UIs and cloud-native deployments (AWS, GraphQL, React). Notable accomplishments include an open-source NGS toolset with 25,000+ downloads, clinical decision-support and contamination-detection ML models for cancer diagnostics, and migrating high-throughput ad systems to optimized C++ with strict latency targets. Comfortable working in regulated medical environments, he pairs algorithmic insight with pragmatic engineering—designing pipelines, APIs, and tooling that prioritize speed, security, and maintainability. Based in Boulder, Colorado, he brings an uncommon blend of hands-on CTO experience and academic bioinformatics training that helps bridge clinicians, data scientists, and engineers.
11 years of coding experience
12 years of employment as a software developer
Master’s Degree Biomathematics Bioinformatics and Computational Biology, Master’s Degree Biomathematics Bioinformatics and Computational Biology at University of Idaho
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