I'm a software developer focused on building reliable, maintainable, and scalable solutions.
My main interests are software engineering, backend development, system architecture, APIs, distributed systems, and cloud applications.
I also have experience with Data Science and Artificial Intelligence, which I use as an additional tool when solving problems that can benefit from machine learning or data-driven approaches.
- C# / .NET / ASP.NET
- Java / Spring
- REST APIs and backend services
- Microservices
- Software architecture
- SQL and relational databases
- Azure and cloud services
- Docker
- Git and CI/CD
- Python
- Machine Learning & Data Science
I enjoy working beyond just implementing features.
I'm interested in understanding how systems are designed and how they can evolve while remaining:
- Scalable
- Maintainable
- Testable
- Observable
- Resilient
- Easy to evolve
I like exploring architectural decisions, API design, integrations, automation, performance, and ways to reduce complexity in software projects.
C# .NET ASP.NET Java Spring Python FastAPI
React JavaScript HTML CSS
Docker Azure Git GitHub Actions CI/CD REST APIs Microservices
Pandas Scikit-learn MLflow ONNX Machine Learning
My repositories include projects involving:
Backend applications, APIs, integrations and experiments focused on building maintainable software and exploring different architectural approaches.
Projects involving REST APIs, service-oriented architectures, containerization, deployment and cloud environments.
Machine Learning and Computer Vision projects where AI is treated as a component of a software solution, rather than the entire product.
Repositories where I explore technologies, architecture patterns, infrastructure and software engineering concepts.
I'm currently deepening my knowledge in:
Software Architecture · C#/.NET · Distributed Systems · Cloud · System Design · Backend Engineering
while continuing to explore how AI can be integrated into real-world software systems.