
Grape Object Detection in smartphone images and video
A Deep Learning model for automatic detection of Grape fruit in smartphone images and video.

Welcome to my portfolio website! I have extensive experience working in the IT industry, mainly in software engineering and development. My main area of work has been mobile and backend development using ASP.NET Core and C# technologies, but also native Android and Python development.
Key projects and technical case studies.

A Deep Learning model for automatic detection of Grape fruit in smartphone images and video.
DriverMobile is B2B application used by business fleet drivers to track execution of services, real time location using GPS, and fleet maintenance checklists.

EtsaWay is B2B application used by agricultural farm owners to request waste management services on their land with regard to livestock operations.

This was an evolution of the initial OpaTransports Lisbon app, implemented in .NET MAUI.

I had the idea of creating this app because I frequently traveled in Lisbon's public transports and needed a good app to manage and track the transports I used.


Two connected Xamarin applications, one for restaurant clients and other for restaurant courier deliveries.
Responsible for the mobile development team and maintenance of existing mobile solutions.
This internship was part of the CTesP DDM course (Development for Mobile Devices).
I spent these years working various jobs—from motorcycle delivery to call-center operator—to support myself while completing my professional course studies.
Having demonstrated good performance on the Glose internship, I continued my work in NextBitt, a partner company of Glose.
This internship was part of the TGPSI course (Computer Systems Management and Maintenance Technician)