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Andrea Mattera

Software Engineer / DevOps / Applied AI

$ building reliable software systems

[backend / distributed systems / devops / applied ai]

I focus on dependable systems, repeatable infrastructure, and useful AI products. I value clear interfaces, pragmatic automation, and maintainable code.

Get in touch

01 / PROFILE

Experience & skills

// stack

LANGUAGES
TypeScript / Python
INFRASTRUCTURE
Docker / Kubernetes / Terraform / CI/CD
CLOUD
AWS
AI
LLM Applications

// experience

timeline / 03

  1. ENTRY / 012023 - Present

    Product & Platform Team

    Senior Software Engineer

    Designing reliable services and internal platforms that help engineering teams ship with confidence.

    TypeScript / Python / Kubernetes / AWS

  2. ENTRY / 022021 - 2023

    Cloud Infrastructure Studio

    DevOps Engineer

    Built repeatable cloud foundations, delivery pipelines, and observability practices for growing products.

    Terraform / Docker / GitHub Actions / Grafana

  3. ENTRY / 032019 - 2021

    Digital Products Lab

    Software Engineer

    Developed maintainable web applications and automation tools with a focus on clear interfaces and simple operations.

    Node.js / PostgreSQL / REST APIs / Linux

02 / PROJECTS

Projects

A small selection of systems, infrastructure, and applied AI work.

selected / workindex / 03
PROJECT / 01case study

Platform Delivery Toolkit

stack

Terraform / Docker / GitHub Actions / AWS

// problem

Reusable infrastructure and CI/CD building blocks for predictable cloud delivery.

// approach

Composable Terraform modules with environment-aware pipelines and explicit release controls.

PROJECT / 02case study

Service Reliability Dashboard

stack

Python / Prometheus / Grafana / FastAPI

// problem

A focused view of service health, operational metrics, and deployment signals.

// approach

A small metrics API joins Prometheus signals into an operational view designed around service ownership.

PROJECT / 03case study

Document Intelligence Assistant

stack

TypeScript / Python / LLM APIs / Astro

// problem

A lightweight assistant for searching and summarizing technical documentation.

// approach

A retrieval pipeline keeps source context traceable while a typed interface limits model-facing complexity.

03 / CONTACT

Contact

Have a project or role in mind? Send me an email or connect with me online.

andrea.mattera02@outlook.it