Daniel Howell is a software engineer based in Austin, Texas with a decade of experience building scalable applications and optimization tooling across startups and enterprise teams. He transitioned from research—writing custom Python tools to analyze electrophysiological data in a human brain lab—to production engineering roles focused on virtualization, scaling, and performance optimization. After helping deliver software at Kumulus and Opsani, he joined Cisco/AppDynamics following their acquisition, bringing expertise in observability and app performance. Passionate about computational neuroscience and brain-computer interfaces, he blends domain knowledge in neuroscience and philosophy with practical systems engineering to tackle data- and latency-sensitive problems. Notably, his background surfaces a rare combination of hands-on neural data analysis and cloud-native optimization experience that informs his approach to building robust, measurable systems.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Neuroscience and Philosophy, Bachelor of Science - BS, Neuroscience and Philosophy at The University of Texas at Austin
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