Dan Vyenielo is a Senior Software Engineer with 8 years of experience building high-throughput, real-time systems across domains from port logistics to GPU fabric networking at NVIDIA. He combines a rigorous STEM background and graduate-level software design training with hands-on C++ and cloud experience, having implemented data abstraction layers for hundreds of lidar streams and an extensible AWS-backed notification system at Amazon. Dan excels at translating complex physical systems into scalable software—evident in projects ranging from GNSS correction services for autonomous vehicles to automated update systems that accelerated release workflows. A self-starter and cross-functional collaborator, he brings a detail-oriented, research-informed approach to performance optimization and system architecture. Unusually for an engineer now at the cutting edge of networking, he began his career integrating geospatial and agricultural data pipelines, giving him a practical perspective on real-world sensor data quality and operational robustness.
8 years of coding experience
4 years of employment as a software developer
California Polytechnic State University, San Luis Obispo
Associate of Science - AS, Computer Science, Mathematics, Engineering, Physics, 3.87, Associate of Science - AS, Computer Science, Mathematics, Engineering, Physics, 3.87 at Santa Rosa Junior College
Master of Science, Computer Science, 3.84, Master of Science, Computer Science, 3.84 at University of California, Riverside
Graduate Certificate, Software Design and Development, 3.97, Graduate Certificate, Software Design and Development, 3.97 at University of Washington Bothell
Contributions:210 pushes, 6 branches in 1 year 7 months
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