Victor Moyano

An access system is used to control the vehicles entering or exiting a given set of facilities. I contributed to writing the software for the devices, controlling the barriers, and writing the back-end connected to these devices.
The code running in the barriers was Python, and the code running in the back end was a Node.js server.

One of the keys for this project to be successful was the implementation of real-time features using technologies such as Websockets. Another challenge was the fact that the software had to be error-free, so using TDD was super important to achieve this.

The implementation of this system took a couple of years, but we ended up with very reliable and robust software that right now is working in production for both Spain and China test facilities.

Electromobility app to manage charge points around the globe. This software managed any charge point implementing the standard OCPP 1.6 protocol.

A dashboard for clients was also created to control and manage the different charge points connected. The software provided functionalities such as:

• Authorization of clients using RFID tags.
• Different working modes are available for each charger.
• Custom configuration of each charging point, following the OCPP 1.6 standard.
• Implementation of the OCPI protocol to allow roaming.
• Tariff creation and billing.

In this project, I managed a small team of four members. I acted as the team leader and helped build this software from scratch.

An Android app to control vending machines and gain access to several exclusive features such as cool deals. The Android app was connected via Bluetooth to the given hardware that was inside the vending machines. This hardware was also built by our company.

I implemented various features for this app, such as an interactive chatbot emulating the vending machine and the complete module to configure deals in a given vending machine. When the deals were created, any client with access to the app could access these types of deals.

The back-end of the application was completely written using Django and was deployed on the Azure cloud.

A business intelligence dashboard built using Django in the back end and pure HTML and CSS for the front end. Several KPIs and metrics were displayed on this website, and they were used to analyze the business from different points of view.

I faced various challenges while building this dashboard. One of them was the huge amount of data that we were processing, and we had to use best practices to display the data efficiently.