Fullstack-Entwickler

• Design and programming of different systems

• Backend development using C# with Entity Framework NETCORE for database connection, LINQ for advanced queries, and NodeJs to connect with external services.

• Frontend development with Angular 11, bootstrap and typescript to build dynamic forms, wizards, popups and unique controls.

• This API has been developing in an async way and using several kinds of patterns design.

• Participated in creating service packs and shipping packages for features/ bugs/hotfixes in all supported versions.

• Entwicklung und Programmierung der neuen Module von ISOLUCION in React.js, Angular.js oder WebForm mit Backend in C# mit Web API und Node.js
• Entwicklung einer Datenengine mit C# NET CORE
• Entwicklung einer API mit C# NET CORE
• Erstellung eines Klientenindex mit ElasticSearch

• Lead the development of the project

• Website was developed on React JS, using axios to communicate to APIs. These APIs were made in NodeJS, and all calls are asynchronous.

• Used two Databases (MongoDB and Elasticsearch). MongoDB was used to save administrative and configuration data. Elasticsearch was used to keep wildlife data, this data was used to search through websites.

• The data engine was developed in Python. It could read a considerable amount of data doing a bulk insert in Elasticsearch.

• The indexing engine was done in Python, which saved the information through Elasticsearch.

• Needed to create a custom configuration that helped us to do a fast search on our DB. Hence, we created a mapping with each field we needed to search. A good practice is to keep the main areas on the first level of the document.

• In this project, a suitable mapping was integrated to achieve an effective search of each species indexed; also, high-speed indexing was performed for previous versions. For example, the first version of the data engine took 2-3 hours to index all the data. However, it was rewritten, and we used parallelism techniques, which we achieved to save data in 30 minutes.

Project: Sentiment analysis for politicians:

• Needed to read candidate tweets and tweets related to him. I could read each tweet and assign it a polarity. It was helpful to candidates because they could know their popularity in some places.

• The text could be analyzed through a lexicon.

• The project website was developed in ReactJS, and the REST API was used in Python Flask.

• Used two databases (MongoDB and Neo4j.) In MongoDB, I saved each tweet with all the information about it, and I used Neo4j to keep the relation of tweets, which helped create a graph per person.

• We did several graphs in Neo4j where we could create networks of people by polarity.

• Design and programming of extraction engine to obtain data from SAP C# SAP Library to extract information.

• Backend development using C# with Entity Framework Core for database connection and LINQ for advanced queries.

• Frontend development with Angular 13, bootstrap, and typescript to build dynamic forms, wizards, popups, and unique controls.

• This API has been developing in an async way and using several kinds of patterns design.

• Entwicklung und Programmierung von ERP-System für den E-Commerce;
• Arbeit an zahlreichen Modulen für die Integration von Wizzel mit verschiedenen APIs wie MercadoLibre und OLX.

• Leitung einer kleinen Gruppe von Entwicklern, die mit C#, WPF, Windows Forms und SQL Server arbeitete, um die Verwaltungssysteme des Unternehmens auszuführen;
• Ausführung eines Überwachungssystems für Funkterminals zur Messung der Nutzungszeit der Terminals.

• Arbeit an zahlreichen klinischen Systemen;
• Entwicklung eines Projekts zur Analyse der Stimmungslage von Politikern.

DAPRO is a system that supports the creation of soap operas and sitcoms throughout their process, including inventory, locations, and food.

• Designed and programmed new modules for DAPRO

• Worked on developing different modules as locations and actors for each episode. These modules were done in C# and Silverlight.

• Participated in meetings and technology decision-making for the new module