David Álvarez Rosa

Visiting Researcher

During my research thesis at the University of Toronto, I was admitted in Vector Institute, which allowed me to experience the world of research first-hand using their exceptional high-performance computing resources with the technical assistance of the development team.

Perception Engineer (LiDAR)

I have been part of the Perception section of Driverless UPC team, which is a team formed by undergraduate engineers in charge of the designing, manufacturing and testing of a fully autonomous car that will participate in national and international competitions between universities. LiDAR responsible and computer vision collaborator.

MSc in Advanced Mathematics

Math-lover part-time student. Official study program focused on research and enabling PhD.

• Real and Complex Analysis, Measure Theory and Integration, Functional Analysis, Operators in Banach Spaces, Riemann Surfaces.

Bachelor's Thesis

Conducted research on Artificial Intelligence for my senior Bachelor's Thesis at the Computer Science department of the University of Toronto under the supervision of Prof. Sanja Fidler (UofT & NVIDIA) and Prof. Xavier Giró-i-Nieto (UPC & BSC), world leading experts in the field of Computer Vision.

• Artificial Intelligence • Machine Learning • Deep Learning • Computer Vision • Natural Language Processing • Multimodal Learning.
• GPA 10/10 (A+).

BSc in Mathematics

A rigorous and proof-oriented course with a robust mathematical base and providing a solid knowledge in its applications (algorithms, computing).

• Relevant coursework: Linear Algebra, Calculus, Mathematical Programming, Algorithmics, Abstract Algebra, Geometry, Analysis, Differential Equations, Probability and Statistics.
• GPA 8.12/10.
• Honors or excellence in 9 subjects.

BEng in Industrial Technologies

Multidisciplinary and integrative vision of industrial engineering. Acquired knowledge and skills essential for future technological development.

• Relevant coursework: Mechanics, Thermodynamics, Electromagnetism, Electrotechnics, Fluid Mechanics, Materials and Electronics.
• GPA 8.03/10.
• Honors or excellence in 14 subjects.

Scientific and Technological Baccalaureate

Finished with honors obtaining 12.76/14 on University Access Exam (Selectividad ).

Blockchain & Financial Technology

Currently enrolled in this online course.

Deep Learning Specialization

Currently enrolled in this online course.

CNNs for Visual Recognition

Completed all coursework.

Machine Learning

Here it is the certificate .

Mathematical Game Theory

Game theory is the study of mathematical models of strategic interaction among rational decision-makers. It has applications in fields such as economics, logic and computer science.

Machine Learning & Deep Learning

Machine learning is the scientific study of algorithms and statistical models that computer systems use to perform a specific task without using explicit instructions, relying on patterns and inference instead.

• Basic principles of machine learning and classical methods.
• Introduction to deep learning from both an algorithmic and computational point of view.
• Study of its applications to reinforced learning and the analysis of multimedia content.

Exploring and Visualizing Referring Expression Comprehension

Human-machine interaction is one of the main objectives currently in the field of Artificial Intelligence. This work will contribute to enhance this interaction by exploring the new task of Referring Expression Comprehension (REC), consisting of: given a referring expression—which can be a linguistic phrase or human speech—and an image, detect the object to which the expression refers (i.e., achieve a binary segmentation of the referred object).

Neural Network Implementation

Implementation of a feedforward (fully connected) Neural Network from scratch in C++, based on the object-oriented programming paradigm. Accordingly, classes have been created in increasing order of abstraction to define the topology of this neural model: Neuron, Layer and NeuralNetwork. Keeping in mind the ease of use for the user and allowing the greatest possible flexibility, classes are also designed for reading data (Data) and for configuring the network (Custom). The source code of this project can be found in my personal Gitlab page.

Robotic Arm - Tic-tac-toe

Creation of virtual animation of a robotic arm able to play the Tic Tac Toe game and never lose. The source code of this project can be found in my personal Gitlab page . You may want to check out the project website.

Private Email Server

Email is perhaps the most successful federated, decentralized protocol to ever exist. It's a shame we've allowed a centralized, monolithic advertising company to obtain a near monopoly on such a great technology. That's the reason why I decided to run my own email server. After all, that is how email is designed to work.

• Configuration of a modern, secure personal email server based on free software (Postfix and Dovecot ).
• Supports opportunistic TLS and IMAP access.
• DKIM , SPF , and DMARC records to ensure outgoing mail is not spam-filtered.

Study Schedule Generator

Creation of a customized study schedule generator adapted to students, through data analysis: clustering/k-nearest-neighbours. In particular, based on past grades, desired performance and schedule restrictions we were able to create the best study schedule possible to maximize user performance.

• This is the project website.
• Here is the source code .