Nikos Karampatziakis is a Principal Researcher at Microsoft in Redmond with 12 years of experience and a PhD in Computer Science from Cornell. He focuses on applied, real-world reinforcement learning and the engineering needed to deploy it reliably at scale. His work blends research and low-level systems engineering, including notable open-source contributions to the Microsoft Cognitive Toolkit (CNTK) around sequence processing and GPU/CUDA robustness. Comfortable tracing problems from algorithm design to production fixes, he’s known for solving tricky edge cases that improve long-running model pipelines.
13 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, 4, Doctor of Philosophy (Ph.D.), Computer Science, 4 at Cornell University
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
Role in this project:
Back-end Developer & ML Engineer
Contributions:425 commits, 4 PRs, 291 pushes in 1 year 7 months
Contributions summary:Nikos's contributions primarily focused on modifying the sequence parser and the handling of sequences within the Microsoft Cognitive Toolkit (CNTK) repository. Their work included fixing a potentially infinite loop, explicit name resolution, and adding support for the new types. The user also updated the CUDA version and added fixes for the atomicAdd function, demonstrating involvement in low-level code related to GPU operations and deep learning. The user appears to be improving the capabilities of the toolkit related to sequence processing.
Contributions:13 commits, 12 pushes, 1 branch in 3 years 7 months
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Nikos Karampatziakis - Principal Researcher at Microsoft