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Marcelo OS
Software Engineering · Belo Horizonte Building in public

Marcelo OS / Software Engineering

Building useful systems, from local reality to global reach.

Software Engineering student building useful digital products, operational systems and a path toward cloud, security, AI and global software engineering.

Current state

Technical foundation in progress. Global direction defined.

Learning converted into projects, documentation, and systems that can be tested in the real world.

structured projects
4
published languages
2
professional direction
2030
Stack Snapshot

Tools to build, operate, and evolve.

An honest view of the current foundation and the domains guiding the next product and learning cycles.

01 / Core

Fundamentals used to turn requirements into software.

  • TypeScript
  • JavaScript
  • Git
  • SQL

02 / Product

Technologies used across current products and prototypes.

  • Astro
  • Tailwind CSS
  • Node.js
  • Firebase

03 / Direction

Evolving domains on the path toward global engineering.

  • Cloud
  • AppSec
  • AI Engineering
  • Global Delivery
Road to 2030

A public, iterative path driven by delivery.

Cloud and platform form the primary track, with security, AI, and technical communication as layers of growth.

  1. 2026

    Stage 01

    Public foundation

    Choose the primary track, publish three strong projects, and turn learning into verifiable evidence.

  2. 2027–2028

    Stage 02

    Experience and ownership

    Work in a real technical context and own delivery, operations, and evolution.

  3. 2029–2030

    Stage 03

    Impact and global reach

    Deepen specialization, lead initiatives, and compete for international opportunities.

Solutions BH

Start local. Build with real context.

Focused solutions for operations and small businesses in Belo Horizonte, with discovery before code.

Concept in validation

Scheduling & Commissions App

Online booking, confirmations, production per professional, and commission calculation without spreadsheets.

Audience
Salons, barbershops, clinics, and service businesses with commissioned staff
Observed problem
Scheduling across notebooks, WhatsApp, and memory creates double-bookings, missed appointments, and slow month-end commission close-out.
Target outcomes
  • Fewer no-shows thanks to automatic reminders
  • Commission close-out in minutes, not hours
  • Service history per client
Contact

Have a real problem, an opportunity, or a solid technical conversation?

I am open to collaboration, projects, internships, and conversations with people building useful products.