Projects
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PyTorch Call Stack Deep Dive: Tracing Tensor Operations from Python to C++ Kernels
Eliminating the ‘Rego tax’: How AI orchestrators automate Kubernetes compliance
Zero trust AI agents on Kubernetes: What I learned deploying multi-agent systems on Kagenti
Zero Trust for autonomous agentic AI systems: Building more secure foundations
From hand-tuned to generated: A reproducible Triton GPU kernel benchmark across different vendors
Protecting Triton kernel deployments with cryptographic signatures
Skip the JITters: Fast, trusted model kernels with OCI caching
Architecting Cloud-Native Ambient Agents: Patterns for Scale and Control
Simplifying Edge AI Builds with Verified GitHub Actions Patterns
A Practical Approach to Smart Tool Retrieval for Enterprise AI Agents
Tool RAG: The Next Breakthrough in Scalable AI Agents
Triton Kernel Profiling with NVIDIA Nsight Tools
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