Machine Learning Engineer with an engineering background, focused on building production-ready AI systems.

I currently work on deploying machine learning solutions for industrial applications, covering the full ML lifecycle—from experimentation and model development to deployment, APIs, MLOps, and production systems.

• Production Machine Learning
• AI Engineering
• MLOps
• Time-Series Machine Learning
• Industrial AI
• LLM Applications
• Software Architecture

Production-oriented AI Engineering challenge.

Highlights

• Modular Architecture
• FastAPI
• Docker
• Testing
• CI/CD
• Production-oriented Design

More production-grade AI projects will be added as they are completed.

Languages

Python • SQL

Machine Learning

scikit-learn • PyTorch • TensorFlow • MLflow

Backend

FastAPI • REST APIs

Infrastructure

Docker • GitHub Actions • CI/CD

Cloud

AWS

• Agentic AI
• Retrieval-Augmented Generation (RAG)
• AI System Design
• Kubernetes
• AWS Solutions Architecture

When I'm away from the keyboard, I enjoy reading philosophy, literature, and theology, training Brazilian Jiu-Jitsu and strength training, following football, and building personal AI projects.

• 💼 LinkedIn: https://linkedin.com/in/thiagocardias
• 📧 Email: souzath.tc@gmail.com