Dylan Chen
Applied Math @ UC Berkeley | ex-HPC Intern @ NASA | AI/ML-Powered Automation
About
Versatile leader building intelligent systems that bridge AI capabilities and physical-world applications – from computer vision pipelines to automated hardware diagnostics. Led ML automation at NASA Ames, currently leading technical development for CITRIS Quest and managing a team of 5-7 developers shipping a retro-themed scavenger hunt mobile game.
Obsessed with making complexity invisible - transforming powerful AI capabilities into seamless experiences for non-technical users. No dashboards, no code, just tools that work naturally where people are. Focused on deployment that matters: computer vision identifying physical objects, conversational AI helping elderly users navigate technology through voice alone, ML pipelines automating failure analysis in production systems.
Grinder mentality forged through a decade of classical piano and competitive gaming. Relentless about iteration and improvement - whether debugging production systems or perfecting a performance. Addicted to measurable progress and seeing things through.
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