Summary
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Top SchoolDylan Bannon is a Senior Engineer with 11 years of experience, currently building scalable backend systems for personalization at Spotify to serve feature embeddings at production scale. His work spans NLP and voice fulfillment, fairness-focused tooling to reduce algorithmic bias in recommendations, and backend systems for real-time feature servingâdemonstrating a blend of ML-adjacent engineering and infrastructure reliability. Prior roles at HubSpot and early internships show deep experience in conversational systems, anti-abuse tooling, and test automation across Python, Java, and web stacks. Based in New York, he combines product-minded engineering with a strong operational focus, often working at the intersection of model outputs and robust, fair delivery pipelines. A detail that stands out: he has repeatedly moved between research-adjacent personalization problems and practical backend delivery, making him effective at turning ML features into reliable production services.
10 years of coding experience
6 years of employment as a software developer
Rochester Institute of Technology