Connor Todd is a Senior Software Engineer based in San Francisco with nine years of experience building reliable backend systems and ML-driven tools. A Purdue CS graduate with concentrations in Software Engineering and Security and a math minor, he has moved from developing multi-threaded, distributed AI/data-visualization systems at Lockheed Martin to protecting revenue and expanding product surfaces as a backend/offline engineer on LinkedIn’s brand lift testing and messaging teams. He combines API- and reliability-focused engineering with practical ML experience (Python for models, Java for backend, React/Ruby frontends) and a history of building mission-critical telemetry and communications tooling for satellite ground stations. Known for pragmatic craftsmanship, he has shipped features that improve message reliability and protect experiment revenue while also contributing to tooling that parses and visualizes live radio data. Comfortable across the stack, he brings both production-grade systems thinking and an appetite for AI-driven product improvements.
9 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Purdue University
High School Diploma, High School Diploma at Greenhills School
Contributions:24 pushes, 1 branch in 1 year 7 months
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