Python Software Engineer | Backend | Data Engineering | Applied Machine Learning

I build backend services, data pipelines, APIs, and machine learning solutions with Python and SQL.

My experience combines software engineering, data, and applied AI across business and industrial projects, including automation, data processing, predictive modeling, NLP, and AI-powered applications.

Backend & Software Engineering Python · FastAPI · Django · Flask · REST APIs · Node.js

Data Engineering & Databases SQL · PostgreSQL · MySQL · Pandas · NumPy · ETL · Data Pipelines · Data Warehousing

Machine Learning & AI Scikit-learn · PyTorch · TensorFlow · Deep Learning · NLP · Predictive Modeling · Time Series · Feature Engineering

Tools & Infrastructure Docker · Git · Linux

• Backend applications and REST APIs
• Data ingestion and transformation pipelines
• Data-driven applications and services
• Machine learning systems and model integration
• Applied AI solutions for real-world problems

I focus on building systems that go beyond isolated notebooks, combining:

Data Sources
    ↓
Python
    ↓
Data Processing
    ↓
PostgreSQL
    ↓
Machine Learning
    ↓
FastAPI
    ↓
Docker
    ↓
Deployment

My goal is to develop reliable, maintainable, and production-oriented software while applying data and machine learning where they provide practical value.

• Bachelor’s Degree in Information Technology — UFRN
• Professional experience in Python, backend development, data, automation, and AI
• Applied research experience in Machine Learning and Computer Vision

Python Software Engineering · Backend Engineering · Data Engineering · Machine Learning Engineering · Applied AI

Open to international opportunities and relocation.

LinkedIn · GitHub

Building practical systems where software, data, and machine learning come together.