About

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FranciscoBarbeito Prieto

I'm aComputer Science Engineer

About

As a freelance computer science engineer, I bring strong technical skills to the table. I am skilled in a variety of programming languages, understand how cloud technologies work, and I'm adept at managing complex software projects. This expertise allows me to tackle challenging issues and deliver practical, effective solutions.

Beyond my technical prowess, I'm also a skilled communicator and enjoy collaborating with teams. I can break down complex tech terms into understandable language, which facilitates clear understanding across the board. Whether I'm working independently or as part of a team, my blend of technical knowledge, collaborative spirit, and leadership adds significant value to any project. My ultimate goal is to drive innovative solutions and boost efficiency.

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Education
My Education

Institutions where I have studied

Education

Bachelor's in Computer Science

  • Universidad Europea de Madrid
  • Sep. 2017 - Jul. 2022

Master's in Computer Science

  • IE School of Science and Technology
  • Sep. 2022 - Jul. 2023 Expected

Skills
Skills

My Skills

Expertisse OOP &
Python

Cloud tehncologies and architectures

cloud

Web App development & API management

Agile Methodologies: Scrum

Works
Portfolio

Major Projects

Portfolio

Digital Glass

Final Undergraduate Project in colaboration with a Glass manufacturer company to optimize reposition and logistic processes. The WebApp solution sits on top of Google App Engine and their users could visualize and order products from our customer and trace bus models and their features using QR codes. The solution also deployed a Blockchain network to store orders' details.

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Traveloh

Flights delay prediction system made alongside my university peers. Using Laravel for the backend and Angular for the front, we scrapped thousands of flights from Aena and using a previously trained ML model; we predicted if the upcoming flights would be delayed.

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Oldie's

This Ambient Assisted Living (AAL) Java project monitorizes in real-time vital signs for dependant people. Data was gathered through physical sensors using Arduino such as temperature, gas emissions, pulse and many more; and was later graphically visualized by medical crew who could contact their patient.

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Recommendation-System-and-NLP

Related with the Information topic, in this Python project we cover scrapping data from different websites, Pocessing Natural Language, applying similitude algorithms and creating a recommendation system for given news.

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