This repository centralizes my portfolio projects covering AI infrastructure validation, workload optimization, enterprise storage strategy, and cloud automation.
Production-grade deployment frameworks built to eliminate manual provisioning overhead across hybrid cloud architecture layers.
- OKE Automation: Video Demonstration — Fully automating Oracle Container Engine for Kubernetes (OKE) deployment on Oracle Compute Cloud@Customer and Private Cloud Appliance.
Validation guides, architectures, and engineering artifacts for deploying AI/ML workloads and enterprise data resilience strategies on Oracle's Edge platforms (C3, PCA, and RED).
- NVIDIA AI Enterprise: Deployment Guide — Setup on Oracle Compute Cloud@Customer.
- NVIDIA NIM Inferencing: Video Demonstration — Running inference workflows on C3.
- NVIDIA Morpheus: Fraud Detection Stream — Stream processing on Compute Cloud@Customer.
- Commvault on PCA: Best Practices Blueprint — Comprehensive data backup and recovery architecture on Oracle Private Cloud Appliance.
- Commvault on C3: Deployment & Configuration Guide — Implementation guide for infrastructure data protection on Compute Cloud@Customer.
An end-to-end framework and analysis focused on optimization, cost reduction, and lifecycle management of enterprise storage assets.
- 🔒 Interactive frameworks and financial analysis data models are kept confidential to protect proprietary metrics. Detailed methodology and sanitized deep-dives are available upon request.
A comprehensive technical deck built for enterprise stakeholders outlining modern storage topologies, scalability, and performance mapping.
- View Presentation Slides — Cloud-hosted presentation deck.
Architectural deep-dives and engineering best practices for enterprise-scale Oracle ZFS storage deployment.
- Oracle ZFS Storage as a Data Lake — Architectural blueprint for high-capacity data lake deployments.
- Oracle ZFS Storage: Best-of-Breed Solution — Technical evaluation and optimization matrix.
To discuss the methodologies used in the storage rationalization framework or request access to the underlying metrics, please reach out via my GitHub profile or open a professional inquiry.