Christopher Blair is an engineering manager with 11 years of experience building cloud-native, ML-enabled systems that scale from early prototypes to hundreds of millions of users. Currently at Datadog, he led a commercial AI agent from zero lines to general availability and previously built a state-of-the-art AI security agent on the observability stack. His background spans fintech and telecom at Capital One and AT&T, where he replaced mainframe systems with Go microservices and shipped data-quality ML tooling into production. Known as a generalist who gets “anything that needs to get done” done, he combines hands-on coding with product-minded leadership and a track record of shipping infrastructure that empowers data scientists and SREs. He’s driven by a desire to “put a ding in the universe,” applying rigorous engineering to practical, high-impact problems.
11 years of coding experience
7 years of employment as a software developer
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Virginia Tech
Contributions:7 commits, 3 pushes, 5 branches in 1 month
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