
Timeline
About me
Software Developer & FullStack Developer
Education

České vysoké učení technické v praze
2019 - 2020Grado en ingeniería computer science.webp)
Universitat politècnica de valència (upv)
2022 - 2024Máster en ingeniería informática computer science.webp)
Universitat politècnica de valència (upv)
2015 - 2021Grado en ingeniería ingeniería informática
Experience

Acernet sl
Jan 2019 - Sept 2019Software developer
Maval industria viva
Sept 2020 - Dec 2021Technical engineerMES/MOM solutions for industry Spanish clients (AC Marca, Europastry, Chic-kles). Web, phone and PDA develop for product control, LMS solutions, quality control, dashboards and life cycle management. Frontend: Vue framework of JavaScript using Quasar. Backend: C# and .NET Siemens Software for machine communication. MirageJS library to simulate APIs and use of JavaScript library Lodash. GitLab as version control system

Infoport
Jan 2022 - Sept 2022Full stack developerDevelop and management of valenciaportPCS service to manage the port logistics of Valencia, Sagunto and Gandía ports. Backend: C# and Visual Basic with .NET, .NET Framework and .NET Core. Web APIs and SVCs creation. Database: SQL Server, using tables, views and stores procedures in the service. Frontend: MVC with Razor, JavaScript with jQuery, C# models and controllers. Windows client develop using Infragistics. Scrum agile methodology with Azure DevOps.
.webp)
Instituto universitario de investigación en ingeniería energética (iuiie)
Dec 2022 - Sept 2024Research technical engineerWeb applications develop in Inasolar and Micro4Biogas European projects, in the research group Geder, for the energy supply of a municipality using renewables energies. Technologies: Plotly, NodeJS and Python to visualize, simulate and optimize energetic data. Dash and Bootstrap in the frontend, pandas and numpy libraries to manage data. Anaconda and Sypder for the IDE. GitHub as version control system. https://inasolar.webs.upv.es/

Gilytics ag
Feb 2024 - Sept 2024Machine learning engineerDevelop of deep learning models to predict resistances in the path optimization of energetic elements (high voltage lines, photovoltaic and wind power plants…). Use of Tensorflow and Keras in Python for the models architecture and hyperparameters tunning. Plotly and matplotlib libraries to visualize plots. Use of embedding pretrained multilingual models.

Espack eurologistica
Oct 2024 - nowSoftware developerDevelop software, web, or console apps for logistics companies. Use of Visual Basic, C# and SQL databases to store data related with the packages (reception, storing, transmission or sending), and the management of the different warehouses of the company. Develop of Windows and Linux applications
Licenses & Certifications
- View certificate

Arduino, sensores, lcd y programación c avanzada - nivel 2
UdemyApr 2024 - View certificate

Introduction to artificial intelligence with python
Cs50Dec 2020
Languages
- inInglés
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