Building reliable systems that take machine learning from experiment to production.
I am a Software Engineering student at PUC Minas, expected to graduate in 2030, building toward a career in Applied AI and Machine Learning Infrastructure.
My main interest is the engineering layer that turns models into reliable products: backend services, data and ML pipelines, model serving, cloud infrastructure, deployment automation, observability, performance, and system reliability.
Before moving into software engineering, I worked in customer-facing and operational environments at companies such as Vivo and TIM. That experience strengthened my problem-solving, incident triage, technical communication, SLA-based work, and ability to operate across multiple systems under pressure.
I also contribute to the official digital communication of the Software Engineering program at PUC Minas, applying generative AI tools to research, scripting, content production, and audiovisual workflows.
Applied AI
Machine Learning Systems
Backend Engineering
Cloud Infrastructure
Linux
Python
Data and ML Pipelines
MLOps Foundations
Observability
Distributed Systems
I am currently strengthening my foundations in algorithms, programming, software engineering, Git/GitHub, Linux, web development, databases, and cloud computing.
A Python and Pygame arcade game that teaches introductory MLOps concepts through gameplay.
The project represents production incidents such as data drift, schema breaks, latency spikes, corrupted features, and model decay as in-game threats. It includes automated tests, persistent rankings, accessibility options, modularized logic, and educational documentation.
Technologies: Python, Pygame, pytest
Concepts: MLOps education, testing, modularization, persistence, accessibility
A modular SaaS application for service-based small businesses, combining CRM, lead management, tasks, proposals, and multi-tenant data isolation.
Technologies: Next.js, React, TypeScript, Tailwind CSS, Supabase
Concepts: SaaS architecture, domain-based organization, authentication, Row Level Security, multi-tenancy
A web application for visualizing and organizing academic progress.
Technologies: Next.js, React, TypeScript, Zustand, Tailwind CSS, Serwist
Concepts: state management, progressive web apps, data visualization, responsive interfaces
A responsive local discovery web application for cultural events and leisure activities in Belo Horizonte.
Technologies: HTML, CSS, JavaScript, Bootstrap, Firebase Authentication, Leaflet
Concepts: responsive UI, geolocation, authentication, filtering, local data persistence
My Software Engineering degree includes coursework in:
- Data Structures
- Operating Systems
- Databases
- Computer Networks
- DevOps Practices
- Distributed Systems and Cloud Computing
- Artificial Intelligence
- Data Science
- Software Architecture
- Software Testing
- Performance Modeling
- Site Reliability Engineering
My goal is to graduate with:
- strong software engineering fundamentals;
- professional English;
- experience with backend and cloud systems;
- production-oriented machine learning projects;
- tested and documented public repositories;
- practical knowledge of containers, CI/CD, observability, and model serving;
- readiness for international opportunities in Applied AI and ML Infrastructure.
I am open to internships and early-career opportunities in:
- Software Engineering
- Backend Engineering
- Applied AI
- Machine Learning Engineering
- Data Engineering
- Cloud Engineering
- DevOps
- MLOps
Belo Horizonte, Brazil • Open to remote and hybrid opportunities