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Achievements

Achievement: Pull Sharkx3Achievement: Pair Extraordinairex2Achievement: YOLO

Achievements

Achievement: Pull Sharkx3Achievement: Pair Extraordinairex2Achievement: YOLO

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danielededo/README.md

Daniele De Dominicis

Cloud Architect at Primaton, based in Milan.

I build cloud platforms on Google Cloud that make shipping software boring, in the best way: Kubernetes-based infrastructure, GitOps delivery pipelines and developer platforms. MSc in Computer Science and Engineering at Politecnico di Milano.

Certified Google Cloud Professional Cloud Architect previously Professional Cloud Security Engineer, Cloud Database Engineer and Data Engineer

Stack

Cloud & orchestrationGoogle Cloud Kubernetes Helm Kustomize
Containers & runtimeDocker Cloud Run
IaC, GitOps & CI/CDTerraform OpenTofu Pulumi Argo CD Tekton GitHub Actions
Languages & frameworksPython Go TypeScript FastAPI React
DataPostgreSQL MySQL BigQuery Redis

Side projects

  • spectral: browser extension that shows what runs behind the site in your tab (CDN, hosting, tech stack, network owner, DNS and email providers), each finding with its evidence
  • cashato: local-first platform for your own bank data; statements normalized, deduplicated and categorized on your machine
  • activity-hub: self-hosted training log for FIT, TCX and GPX exports
  • gambit: chess in the browser against Stockfish, a friend on the same device, or via a 6-digit PIN (live)

More on danielededo.it · LinkedIn

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  1. activity-hub activity-hub Public

    Self-hosted training log for FIT, TCX and GPX exports. Training load, form and personal bests, all on your own machine

    Python

  2. gambit gambit Public

    Online & offline chess in the browser: play Stockfish, a friend on the same device, or a game via 6-digit PIN

    JavaScript

  3. scaffold scaffold Public template

    Language-agnostic template baseline for personal projects: licensing, governance, docs, contribution workflow

  4. cashato cashato Public

    Local-first platform for your own bank data: statements from several banks, in heterogeneous formats (PDF/CSV/XLSX), normalized into one schema, deduplicated across formats, and categorized by a mu…

    Python