Backend engineer. I build production services in Java, Python/FastAPI and Node.js, running on Azure.

I came to software from civil engineering. My MSc at USP used a multilayer perceptron to predict the rheological properties of fresh concrete, feeding those parameters into a particle finite element simulation in C++ to model concrete flow — validated against physical slump and L-box tests.

That's the short version: production backend work, with a real background in numerical methods and applied machine learning. I'm most useful where those overlap.

📍 Brasília, Brazil (UTC−3) · Open to remote roles worldwide

✉️ github@thicosta.dev · LinkedIn

Backend: Java · Python · FastAPI · Node.js · TypeScript

Data & numerical: pandas · polars · NumPy · matplotlib · scikit-learn · neural networks

Cloud & infra: Azure · Docker · MongoDB · PostgreSQL · GitHub Actions

Also: C++ (FEM), VBA, Bash

MSc in Structural Engineering, USP · Postgrad in Software Engineering · MBA in Information Security · BSc in Civil Engineering