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enricopesce/README.md

Typing SVG



LinkedIn Blog Oracle


$ whoami

Cloud Solution Engineer at Oracle focused on enterprise cloud architecture, platform engineering, and AI adoption.

My background spans enterprise infrastructure, cloud-native delivery, and solution design. I work where architecture has to meet operational reality: reliability, security, governance, automation, performance, and cost-aware execution.

Today my main focus is OCI, Kubernetes, infrastructure as code, and generative AI. AWS platform engineering and hands-on server-side operations still shape how I approach every system: practical, measurable, and production-ready.


$ principal_skills


Cloud & Architecture

  • Oracle Cloud Infrastructure
  • AWS
  • Cloud governance and landing zones
  • IAM, networking, and security
  • Performance and cost optimization

Platform & Automation

  • Kubernetes / OKE / EKS
  • Docker and cloud-native delivery
  • Pulumi, AWS CDK, Terraform, Ansible
  • CI/CD and developer enablement
  • Observability and operational resilience

AI & Data Workloads

  • OCI Generative AI
  • LLM evaluation and model selection
  • RAG and vector-based architectures
  • AI-ready infrastructure
  • Inference benchmarking on cloud CPUs

$ experience

  • Enterprise infrastructure background with strong exposure to server-side platforms, performance tuning, and production reliability.
  • Cloud platform work shaped by real delivery in AWS, including CI/CD, CDN/WAF, compliance-oriented initiatives, and scalable application environments.
  • Current Oracle focus on OCI, Kubernetes, and enterprise AI, helping teams turn cloud and generative AI capabilities into practical architectures.

$ selected_work

Automation-first deployment patterns for Oracle Kubernetes Engine on OCI.

Reference catalog for OCI Generative AI models across providers, capabilities, and selection criteria.

CLI tooling to check Oracle Cloud compute shape availability, including GPU capacity across regions.

Continuous delivery service for AWS ECS Fargate implemented with AWS CDK.


$ writing

A practical guide to comparing and selecting OCI-hosted generative AI models.

Hands-on analysis of ARM and x86 tradeoffs for inference workloads on OCI.

Notes and articles on OCI, Kubernetes, serverless patterns, cloud architecture, and AI infrastructure.


$ credentials

  • Oracle Cloud Infrastructure Certified Foundations Associate
  • Oracle Cloud Infrastructure Certified Architect Associate
  • AWS Cloud Practitioner

 

LinkedIn Blog Oracle

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  1. enricopesce.it enricopesce.it Public

    My tiny new blog site

    HTML

  2. fn-examples fn-examples Public

    Some fn functions examples for OCI

    HCL 2

  3. norma43 norma43 Public

    The definitive, zero-dependency Python library for parsing Spanish banking statements in the Norma 43 (Cuaderno 43 / AEB 43) format.

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  4. ocareport ocareport Public

    CLI tool to check Oracle Cloud compute shape availability - find GPU capacity (A100, H100) across regions

    Python 3

  5. oci-genai-catalog oci-genai-catalog Public

    OCI Generative AI model comparison reference

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  6. oracle-kubernetes-engine-deploy oracle-kubernetes-engine-deploy Public

    Deploy Oracle Kubernetes Engine OKE as Oracle Cloud Infrastructure OCI expert

    Python 7