🔭 Building agentic AI systems on GPU-accelerated infrastructure with CUDA
👯 Open to collaborating on GPU computing, agentic AI, DevOps automation, and distributed systems
🤝 Seeking expertise in GPU optimization, CI/CD pipelines, Kubernetes, and scalable agent deployment
🌱 Deepening skills in CUDA, DevOps practices, containerization, and distributed architectures
💬 Ask me about GPU computing, Agentic AI, DevOps, and Distributed Systems
⚡ Fun fact: I like automating everything, from deployments to GPU workloads, and my avatar is Tux 🐧
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CCET Chandigarh
- Chandigarh, India
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16:52
(UTC +05:30) - in/amitesh-singh-a0b24b381
Highlights
- Pro
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aegis-slam
aegis-slam PublicSelf-healing visual SLAM on OpenCV 5: an agent diagnoses tracking failures, applies one bounded fix, verifies it, and rolls it back if it did not help.
Python 1
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impactbridge
impactbridge PublicAI-powered NGO resource allocation & volunteer coordination platform — NeedsScan · MatchMind · ImpactPulse | Google Solution Challenge 2025
TypeScript 1
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agentfence
agentfence PublicRuntime policy enforcement and containment for autonomous AI agents
Go 1
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sentrycheck
sentrycheck PublicEvidence-graded compatibility analysis for sandboxed containers (gVisor, Kata)
Python 1
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cuda-crosslayer-bench
cuda-crosslayer-bench PublicCrossover size N* where custom CUDA kernels beat cuBLAS/CUB, as a joint function of kernel, launch strategy and occupancy
Cuda
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