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Anurag Kuppala

PROFILE

Anurag Kuppala

Worked on the NVIDIA/nim-deploy repository to deliver unified deployment guides and documentation for NVIDIA AI solutions on Oracle Cloud Infrastructure. Focused on consolidating deployment instructions for RAG on Oracle Kubernetes Engine and NIM on OCI Data Science CLI, the work included detailed setup steps, GPU configuration, and node sizing guidance. Leveraged skills in Kubernetes, cloud infrastructure, and documentation management, using Bash and YAML to standardize blueprints and streamline onboarding. Developed comprehensive end-to-end deployment workshops for advanced AI applications, enabling faster adoption and practical learning. The contributions improved deployment reliability, reduced onboarding time, and enhanced documentation consistency for engineering teams.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

9Total
Bugs
0
Commits
9
Features
3
Lines of code
11,173
Activity Months2

Your Network

13 people

Work History

February 2026

4 Commits • 2 Features

Feb 1, 2026

February 2026 (NVIDIA/nim-deploy) monthly summary focusing on business value and technical achievements. Delivered two core feature sets enabling OCI-based NVIDIA AI deployments and enhanced developer enablement. Key outcomes include standardized blueprints for OCI/OKE deployments, updated deployment instructions, and node sizing guidance, plus end-to-end deployment workshops to accelerate practical learning and adoption. No major bugs documented in this dataset. Technologies and skills demonstrated include OCI/OKE, RAG, AIQ, VSS, and Data Flywheel deployments, as well as documentation best practices and workshop design.

October 2025

5 Commits • 1 Features

Oct 1, 2025

Month: 2025-10 — Delivered consolidated NVIDIA deployment guides and documentation updates for Oracle Cloud, focusing on RAG on OKE and NIM on OCI DS CLI. The effort produced a unified set of deployment instructions, prerequisites, GPU configurations, and documentation strategy changes, aligning with the team’s updated documentation approach. This work enables faster, more reliable NVIDIA deployments on Oracle Cloud and reduces onboarding time for engineers and customers.

Activity

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Quality Metrics

Correctness97.8%
Maintainability93.4%
Architecture95.6%
Performance93.4%
AI Usage40.0%

Skills & Technologies

Programming Languages

BashMarkdownYAML

Technical Skills

AIAI DeploymentAI DevelopmentAI deploymentCloud InfrastructureContainerizationData EngineeringDevOpsDocumentationGPU ManagementKubernetesMachine LearningNVIDIA NIMOracle Cloud Infrastructurecloud deployment

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

NVIDIA/nim-deploy

Oct 2025 Feb 2026
2 Months active

Languages Used

BashMarkdownYAML

Technical Skills

Cloud InfrastructureContainerizationDevOpsDocumentationGPU ManagementKubernetes