CMN
About
Currently doing research on the use of Autoencoders and Diffusion on timeseries forecasting.
Work Experience
Instituto de Investigación Tecnológica
Sept 2024 - N/A
Research Assistant
Research on the use of autoencoders and diffusion in timeseries forecasting
Tower Consultores
Jun 2023 - July 2023
Summer Intern
Worked on full stack development and business intelligence
Universidad Pontificia de Comillas ICAI
Sept 2022 - May 2023
Collaborator Student
Worked on the development of internal tools to aid the universities international department
Education
Universidad Pontifica de Comillas ICAI
2024 - 2026
MSc in Telecommunication Engineering
Universidad Pontifica de Comillas ICAI
2020 - 2024
Grade: 7.9/10
Bachelor's Degree in Telecommunication Technologies Engineering
Coursework: Algorithms, Digital Systems I, Digital Systems II, Software Engineering, Signals and Systems, Communication Theory, Radiation and Propagation, Electromagnetic Fields
The University of Texas at Austin
2023 - 2024
GPA: 3.92
Bachelor's Degree in Electrical and Computer Engineering (Exchange)
Corsework: Digital Image Processing, Edge AI, Reinforcement Learning, Probability and Randomm Processes
Skills
Python
Pytorch
Tensorflow
C
Java
VHDL
JavaScript
ONNX
Projects
Timeseries forecasting
github.comCarlosMari/TimeSeries
Use of autoencoders and diffusion to forecast timeseries
PyTorch
Python
Diffusion Model from Scratch
github.comanforsm/movie-diffusion/
Developed a diffusion model based on the UNet architecture from scratch to generate movie posters.
PyTorch
Python
Federated Learning Framework
github.comrmahendra9/EE364D
As part of my Capstone Project currently developing a Hierarchical Federated Learning framework based on the flower framework.
PyTorch
Python
CFR-RL Generalization
github.comCarlosMari/CFR-RL
Research on the use of Reinforcement Learning for Network Optimzation. Based on thee CFR-RL algorithm working on a model that is able to generalize to any topology.
PyTorch
Python