Adam Quigley is a Senior Software Engineer with nine years’ experience designing distributed systems and scalable search and AI infrastructure, currently driving Search Infrastructure at Bloomberg. He previously helped build Atlassian’s enterprise search (Rovo), specializing in vector search, hybrid retrieval, learning-to-rank and production ML systems. Comfortable across Java, Python, TypeScript and Go, Adam has moved systems from monoliths to microservices and implemented MLOps and data pipelines for real-world relevance problems. He combines hands-on engineering with a taste for applied ML—building GBDT-backed personalization and retrieval stacks—and brings a pragmatic focus on production reliability at scale. Based in New York, he blends product-minded full-stack experience with deep search relevance expertise often found more in research teams than platform engineers.
Client for in-process caching of secrets from AWS Secrets Manager for Rust applications
Contributions:5 releases, 1 review, 18 PRs in 1 year 11 months
rustsecrets-manageraws-lambdacachingsecrets
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Adam Quigley - Senior Software Engineer at Bloomberg