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MetalCloud1/README.md

๐Ÿ‘‹ Hi โ€” Iโ€™m Gilberto

Cloud ยท Security ยท Distributed Systems ยท Practical ML

Iโ€™m a 19-year-old engineer who learns by building.
My focus is on cloud infrastructure, secure systems, and scalable software. I prefer to prove ideas by shipping working systems rather than by collecting certifications or tutorials.


๐Ÿš€ What I build (high level)

I build learning systems that force clarity through failure โ€” small, real platforms that expose the hard parts of production engineering.

  • MicroForge โ€” a cloud-native learning template: Kubernetes + GitOps, identity & secrets workflows, observability and deployment patterns.
  • NetSentinel โ€” infrastructure for lightweight threat intelligence, reputation scoring, and observability-driven operations.
  • LeakGuard โ€” detection of compromised passwords and sensitive data.
  • Systems Experiments โ€” projects exploring RPC, event queues, low-level engineering patterns and automation.

These repos are intentionally practical: they capture decisions, trade-offs, and the lessons that taught me to design better systems.


๐Ÿง  How I work

  • Systems first. I prioritize architecture and invariants before adding tools.
  • Iterate fast. Build โ†’ break โ†’ learn โ†’ harden.
  • Document reasoning. Commits and READMEs should explain why, not just what.
  • Security by design. Least privilege, secret rotation, and observable failure modes from day one.
  • Simplicity over cleverness. Remove complexity until the system remains robust.

๐Ÿ” Current focus

  • Hardened cloud infrastructure (Kubernetes, Terraform, IAM)
  • Practical DevSecOps: reproducible pipelines and gated delivery
  • Observability as first-class design (metrics, traces, structured logs)
  • Systems thinking applied to reliability and security

๐ŸŽฏ Principles I follow

  • Clarity > cleverness โ€” if you canโ€™t explain it simply, itโ€™s not ready.
  • Design for failure โ€” make systems fail safely and recover automatically.
  • Automate guardrails โ€” humans should choose, machines should enforce.
  • Learn by building โ€” theory is useful; production scars teach reality.

๐Ÿ”— Quick repo highlights

  • MicroForge โ€” cloud learning template (K8s, GitOps, observability)
  • NetSentinel โ€” infrastructure + monitoring + reputation scoring
  • LeakGuard โ€” sensitive information early detection service.
  • systems-experiments โ€” assorted low-level and distributed systems work

All projects are honest, evolving, and focused on practical lessons rather than polish. Explore any repo to see the trade-offs I made and the problems I solved.

Pinned Loading

  1. LeakGuard LeakGuard Public

    ๐Ÿ›ก๏ธ LeakGuard: Microservices for early detection of compromised passwords and sensitive data, with secure k-Anonymity checks, observability, and Docker-ready deployment.

    Python 1

  2. MicroForge MicroForge Public template

    ๐Ÿ—ก๏ธMicroForge: Cloud-native microservices template with secure authentication, automated CI/CD, Terraform-managed infrastructure (EKS, PostgreSQL), and monitoring.

    Python

  3. NetSentinel_ NetSentinel_ Public

    ๐ŸŒ NetSentinel: A modular platform delivering IP geolocation, reputation scoring, and lightweight threat intelligence, with modular Terraform, Docker-based DevSecOps pipelines, and full observabilitโ€ฆ

    HCL