Summary
Nolan Rudolph is a Sr. Performance Software Engineer with 12 years of experience specializing in high-throughput networking and performance optimization, currently at Splunk in Mountain View. He blends low-level systems expertise in C/C++ and x86 assembly with modern stacks like Python, React, eBPF, and distributed databases to squeeze maximum efficiency from data platforms. His research at the University of Oregon produced tangible gains—projects that boosted Cassandra throughput by 50% and achieved multi-million packet-per-second generation and lossless flow capture at 10Gb/s. Comfortable across the full stack from kernel-space instrumentation to cloud-hosted analytics, he gravitates toward elegant, simple solutions to complex performance problems. He’s also an experienced tutor and researcher, bringing mathematical rigor to system design and a track record of turning network telemetry into practical, high-speed tools.
12 years of coding experience
2 years of employment as a software developer
Computer Science: Bachelors in Progress; Mathematics: Minor in Progress, Computer Science and Mathematics, Computer Science: Bachelors in Progress; Mathematics: Minor in Progress, Computer Science and Mathematics at University of Oregon