Emre Ates is a Senior Software Engineer based in Boston with 10 years of experience applying machine learning to diagnose and mitigate performance and reliability issues in large-scale systems. Currently working on video encoding at YouTube, he pairs production-grade engineering at Google with a deep research background as a PhD candidate at Boston University focused on tracing and monitoring analytics for distributed applications and supercomputers. His work spans collecting and analyzing traces to root-cause performance bugs and using numeric telemetry to detect anomalies like covert crypto-mining, reflecting a rare blend of systems expertise and ML modeling. Prior internships at national labs and previous contributions to memory allocator optimization demonstrate hands-on performance tuning across both research and industry contexts.
Contributions:1 release, 21 commits, 19 pushes in 1 year
hpc
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