At Solver, I worked on my degree thesis focused on LLMs for document processing (VDU). Additionally, I applied my knowledge of machine learning and AI to implement solutions addressing the company's client needs.
At Vidext, I learned to develop web applications using React and Next.js. I created the company's landing page and an internal application for employees.
On this page I have made my image editing skills available to a variety of clients, with clients from all over the world. My work varied from client to client, but some examples are: Images for product promotion, photo and portrait retouching or image creation for digital marketing (Amazon).
At Punt I Seguit, I had the opportunity to teach students from 1st year of ESO to 2nd year of Bachillerato, reinforcing their learning to improve their grades. In addition to that, and motivated to teach, since I entered university I have taught other classmates in a formal way.
During the summer months, I worked as a waiter at the karting restaurant in my hometown.
During the summer months, I worked as a kitchen assistant at the Papi Beach snack bar in my hometown.
During my academic exchange in Switzerland, I learned how to create AI models, advanced algorithms, and data analysis. All with a practical as well as a theoretical approach. At the same time, I have been able to practice and improve my English by interacting with people from all over the world.
At UPV, I have learned everything from the basic concepts of computing to how to develop applications and use artificial intelligence. All of this, while achieving excellent grades and receiving awards for it. During this process, I have participated in various university activities such as sports championships, student delegation, or as a tutor.
During my adolescence, I studied at IES Almenara, the institute in my town. I completed compulsory secondary education (ESO) and the scientific 'bachillerato' with the aim of taking the university entrance exams.
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Finished
In this project, I employed the concept of zero keyframes: instead of using images for texture, I drew and rendered the frames of a moving creature to make it appear alive. The main idea was to create fish-like creatures with fins and wobbly eyes. I then incorporated some of my previous work on Inverse Kinematics to generate the legs. The results are incredible visuals of creatures that move as if they were alive!
Python
Pygame
NumPy
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This project was intended as a one-day coding session and ended up with me playing with the results for three days. The chaos generated by a double pendulum system is quite interesting. The math behind it is simple, involving just two (albeit large) equations. The visuals are amazing and, when properly tweaked, can mesmerize you.
Python
Pygame
NumPy
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Finished
Boids, or flocks, are agents that mimic the behavior of certain animals. Specifically, we can simulate the movement of birds or ants. With three simple rules—Cohesion, Alignment, and Separation—we can reproduce this fascinating behavior. Colors change based on direction, creating incredible visuals!
Python
Pygame
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Finished
The Cube, also known as El Jueguito, was my first major programming project. With the aim of learning C# and Unity, I started this game as a practice project. The concept is simple: protect a cube from enemies. Round after round, more and more enemies appear, each stronger than the previous. When you can no longer hold them back, you can use the money to upgrade your weapons and survive further rounds!
C Sharp
Unity
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Finished
Mazes are an interesting application of graph and algorithm theory. They can be represented in many ways, but the objective is always to navigate from one tile to another (the exit). Here, we use pathfinding algorithms like A* or Greedy to find the best solution. Click to see how mazes are generated and solved step by step!
Programming Languages for web, mobile and systems development. This ranges from functional to high-level languages
Modern tools for rapid development, design and integration: Web, Apps and Games.
Solutions for manipulation, analisys, processing and visualization of data with Python and other backend frameworks.
Frameworks for building and training AI models, traditional machine learning and deep learning.