Claire Childs is a software engineer with nine years of experience building reliable systems across startups and established companies, currently contributing at Digits. Her background includes backend-focused roles at CodeHS and MongoDB, where she extended a query fuzzer and identified issues that improved database command coverage. Claire started in research and teaching—developing a high-accuracy CNN for occluded facial recognition and mentoring undergraduate students—which contributes to her strong foundation in both applied ML and education. Early internships at IBM and MongoDB show hands-on experience with static analysis, lexers/parsers, and mainframe PL/X tooling, revealing a knack for low-level program analysis as well as higher-level application work. Based in South Carolina, she blends practical production experience with a history of mentoring and curriculum development, making her effective at both individual contributor and collaborative engineering roles. She brings a curiosity for tooling and testing that often surfaces in improving code quality and coverage behind the scenes.
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