Summary
Scott Danzig is a Staff AI Engineer with 12 years of experience building distributed, production-first systems across Java, Python, and TypeScript on Azure and AWS. He combines incident leadership and hands-on delivery—having led Sev-1 bridges, large migrations, and CI/CD rollouts that cut deploy times from hours to minutes—with a growing focus on AI-assisted tooling to reduce toil and accelerate development. He’s shipped AI-driven internal tooling (natural-language SQL, ticket runbooks, VLM/YOLO video pipelines) and consults on applied-LLM products that span real-time inference, automated data harvesting, and human-in-the-loop workflows. Comfortable as a senior IC, tech lead, or manager, he’s also been a key compliance SME (FedRAMP/Kantara) and security remediation lead, turning an F-grade posture into a B. Based in Pittsburgh, he pairs deep low-level systems and real-time simulation roots with modern cloud-native and ML tooling to deliver reliable, auditable platforms.
12 years of coding experience
19 years of employment as a software developer
M.S., Electrical Engineering, M.S., Electrical Engineering at Columbia Engineering
B.S., Electrical and Computer Engineering, B.S., Electrical and Computer Engineering at Rutgers University
English, Russian