Summary
Sena Ekiz is a software engineer in San Francisco with six years of cross-functional experience building developer-facing tools, production ML systems, and platform integrations. Currently at NVIDIA, she works on multi-agent LLM frameworks for GPU observability and foundation time-series model benchmarking on DGX systems. Her background spans hands-on engineering roles at Slack and Jotform, plus product and program leadership at Amazon, Kodiak Robotics, and Microsoft, where she drove migrations, release automation, and open-source SDK consolidation. She blends product sensibility with implementation chops—automating inventories with GitHub APIs and improving developer DX through SDK and CI enhancements. Sena’s practical focus on observability and benchmarking for large models, combined with experience in autonomy and cloud-scale tooling, makes her effective at shipping reliable, scalable ML infra. She also has a history of community leadership and developer advocacy, helping translate user feedback into measurable product improvements.
6 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at TOBB Ekonomi ve Teknoloji Üniversitesi
Ankara Atatürk Anadolu Lisesi
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at University at Albany, SUNY
English, Turkish