João Carlos Procópio Florêncio

MOC View is a React Native app compatible with Android and iOS that helps candidates practice for their job interviews with colleagues, friends, or contracted coaches. It used Socket.io, video-conference technology, and bidirectional data flow. The first version of the app, as shown in the demo video, was entirely designed and developed by me.

Go.On is a mobile and web SaaS application to assist companies in the management of their field teams through planning/routing, tracking, and monitoring of planned activities and sending pre-filled forms regarding the activities carried out.

Work Done:
• Developed the BI for extracting and presenting relevant information about the field operation.
• Redesigned all UI experience in the mobile app.
• Improved the software architecture to solve several performance and stability issues that were compromising the software.
• Performed quality assurance and made many other minor improvements.

Technologies: AngularJS, C#, ASP.NET MVC

Ant Savings is a personal project that I worked on from start to finish. It is a web application that enables a user to manage their own savings.

The app makes possible to separate the money for specific goals, even when the money is distributed in different investment accounts. The user can keep track and designate specific income streams (dividends and interest from various sources) to reach their long-term goals. Most long-term goals are eventually reached with a series of small deposits and this app helps a user to manage that.

Technologies: ASP.NET MVC

UniRay is a rudimentary demonstration of the ray-tracing technique. The scenery and objects are mathematically described in a file passed as a parameter to the system. The system then reads and generates the image following its shapes, transparency level, reflection, diffraction, opacity, and light sources. The model follows the path of the light, interacting with the environment until it reaches the camera. The final result is an image with a high fidelity degree.

To run the demonstration, access "UniRay/bin/Debug" and find the executable "UniRay.exe." You will discover many input files in the same folder with the extension ".sdl." You can open them and note that there is only a simple description, no pixel-to-pixel information. To execute the program, choose one of the files and drag them to the executable. It will automatically generate an image according to the description of the file, and it will save a ".bmp" file in the same folder. It is also possible to generate your own image by changing the file. The objects are described as quadrics.