United States
Daniel Hill is an expert in computing performance. Previously a leader of performance engineering at Intel, where he did performance design, evaluation, analysis, and tuning. He presented at conferences including Google NEXT and AWS. Previously among the top performance experts at CollegeNET, Intel cloud/AI/mobile, he has delivered industry-leading performance for a variety of products. He has also created widely used performance tools, methodologies, and visualizations, including PerfSpect, visual ELF, and pioneered hardware counter observability in the cloud. His work has saved the industry over US$1B.
Drove 50% performance gains in v8.3
Drove +40% performance gains in v8.0 release
- Maintained open source observability tools which identify bottlenecks and optimize workload performance - Optimized workloads in public cloud to fully utilize latest hardware optimizations
- Migrated legacy software to Java Spring Boot - Developed analytics and simulations crucial to colleges navigating Covid-19 - Implemented customer facing asynchronous video interviewing solution
- Maintained AI performance simulation software - Head of DevOps: Automated testing environment - Mentored interns
- Led the design and writing of a modular benchmarking test suite for Intel architecture. Now used by multiple teams. - Developed Linux, Windows, and vxWorks drivers implementing OS agnostic cache allocation technology
- Developed dynamic localization communication between robots and Microsoft HoloLens with the goal of improving human and robot interaction and safety