Goals
My career goal is to continually expand my understanding of the latest machine learning
techniques, pushing the boundaries of what is possible and creating innovative machines that make a difference.
Experience
GrwNxt, AI-based Vertical Farming Start-up
Amsterdam, Netherlands
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Machine Learning Engineer
December 2022 - Present
- Developed prompt-based object detection and image segmentation model for hyperspectral images.
Created a user-friendly interactive annotation tool for segmenting and labelling hyperspectral image data.
- Designed and conducted experiments for collecting hyperspectral data for training, informed by relevant literature.
Developed models for nutrient content prediction in plants using hyperspectral imaging.
- Developed time-series processing algorithms for trend detection in telemetry data from IoT devices.
- Contributed with original ideas to the development of the company's main product.
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Data Scientist
September 2022 - December 2022
- Developed an early warning system in Azure for telemetry data using C#/SQL/Python (ASA, AF, MLStudio...).
- Designed and set up an Azure-based System Architecture.
University of Amsterdam (UvA), ONCAMPUS Teaching Institution
Amsterdam, Netherlands
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Mathematics Tutor
March 2022 - June 2022
- Taught Business/Economics oriented Mathematics to students at university entry level.
Publications
Preprints:
- Alonso Urbano and David W. Romero,
Self-Supervised Detection of Perfect and Partial Input-Dependent Symmetries, 2023.
URL: arxiv.org/abs/2312.12223
Education
- MSc Artificial Intelligence (GPA: 7.9/10)
Vrije Universiteit Amsterdam, Amsterdam, Netherlands
September 2021 - June 2023
- MSc Thesis: Self-Supervised Detection of Perfect and Partial Input-Dependent Symmetries:
developed a novel self-supervised method to learn varying levels of group symmetries in data.
Proved a series of mathematical propositions that serve as the backbone of the method.
- Authored and submitted a paper based on the thesis to ICLR 2024. Received mixed reviews (ratings: 5/5/6/3),
with one review above the acceptance threshold and two reviews ``marginally below acceptance threshold".
- Topics: computer vision, geometric deep learning, group equivariant networks, self-supervised learning.
- BSc Mathematics
Universidad de Málaga, Málaga, Spain
Exchange at University of Southampton, United Kingdom
September 2016 - June 2021
- Highschool Education
San Estanislao de Kostka, Málaga, Spain
June 2016
Interests
I learned Flamenco Guitar from the Maestro Chaparro de Málaga.
I am also a film enthusiast and home cook, curious about the tastes of every cuisine.