About
I’m pursuing a Double Master’s in Informatics Engineering and Applied Artificial Intelligence at University Carlos III of Madrid , while teaching Language Processors classes. As part of the GIAA group , I focus on AI research, specifically dam data analysis, sharpening my problem-solving and analytical skills.
I’m proficient in C++ , Golang , and Python , with a focus on AI and backend development . My experience spans from my undergraduate thesis on robot navigation to team projects where I’ve applied theory in practice.
My time at George Mason University enhanced my ability to thrive in multicultural environments and adapt to new challenges. Outside of work, I’m passionate about basketball and video games.
Experience
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Feb — Jul 2024 Instruct over 80 students in practical classes on building, among other things, a translator from C to Lisp, and from Lisp to Forth, using Bison and C, covering all essential compiler construction steps, with hands-on coding sessions.
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C
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Bison
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Flex
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Lisp
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Forth
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Feb — Apr 2023 I contributed to the development of a Python program that employs Convolutional Neural Networks for the detection of manufacturing issues in car images.
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Python
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Convolutional Neural Networks
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Projects
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March Machine Learning Mania 2024
Developed a predictive model to accurately estimate the outcomes of NCAA basketball tournament games for the Kaggle competition "March Machine Learning Mania 2024." This involved comparative analysis of machine learning techniques, including XGBoost and neural networks.
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Python
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XGBoost
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NN
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DOVS model for navigation in dynamic environments
Developed a Python-based parallelizable implementation that effectively models in real time dynamic 2D environments with multiple agents.
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Python
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Robotics
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Navigation
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LOL E-Sports Bets App
I developed an Android app in Kotlin, featuring a coin-based betting system tailored for e-Sports League of Legends enthusiasts. The app seamlessly communicates with a Go-written backend server, adept at handling bets in real-time.
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Go
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Kotlin
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Android
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Publications
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Nov 2024 We developed a hydrological monitoring network using NB-IoT-connected soil moisture and water level gauges. The designed and calibrated sensors were integrated into a cloud system and tested across two sites, our results confirm effective monitoring with improved connectivity and battery life.
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Sep 2024 An Associate Cloud Engineer deploys, secures, and monitors applications and infrastructure, ensuring performance targets are met. They work with public cloud and on-premises systems, managing and scaling solutions on Google Cloud.
Certification