Machine Learning Engineer
Multiverse Computing- Compress multi-billion-parameter language and multimodal models.
- Up to 50% parameter reduction at under 5% performance loss.
- Distributed training across multi-node HPC clusters.
About
Just graduated from the BSc in Data Science & Engineering at UC3M in Madrid, where I discovered my passion for Deep Learning, a field where every single day brings new challenges, solutions, and opportunities to learn something new.
During my time as a student, I have also accumulated relevant professional experience in the field. I have worked as a junior MLE at Multiverse Computing, a world-leading company in model compression, where I contributed to the compression of multi-billion LLMs and multimodal models.
Despite having the chance to jump straight into the industry, my drive to keep learning — and to truly understand these models rather than only use them — won out. Instead of building on top of what I already knew, I have chosen to pursue an MSc in Machine Learning and return to research in Deep Learning: to deepen my theoretical foundations, sharpen my research experience, and work at the frontier where these ideas are shaped, not only where they are applied.
My experience
Professional
industry & research
Academic
degrees & community
Deep Learning Research Associate
Universidad Carlos III de Madrid
- Implemented a novel attention mechanism inside transformers.
- Evaluated it across configurations for scalability.
- Reproduced state-of-the-art transformer and VAE baselines.
Data Science Intern
Aitaca Remote Tech- Improved the accuracy of an image-based ring-size prediction model.
- Fine-tuned the core vision model on a proprietary dataset.
- Worked the full pipeline, from data engineering to production.
MSc in Machine Learning
Universidad Carlos III de Madrid
- Focused on the theory behind modern deep learning.
- Research-oriented, investigating agentic AI calibration.
- Starting September 2026.
Vice-President & Co-founder
AI Student Collective UC3M- Co-founded my university's first AI association.
- Run hands-on programming workshops for students.
- Scaled the team to 10+ members and industry events.
BSc in Data Science & Engineering
Universidad Carlos III de Madrid
- 8.8 / 10 GPA across a four-year engineering degree.
- Core coursework in machine learning and data structures.
- Foundations in computer vision and statistical signal processing.
Junior Exchange Program Scholarship
University of California, Riverside
- 3.9 / 4 GPA on a competitive exchange scholarship.
- Graduate-level Deep Learning and Advanced Machine Learning.
- Computer Vision and Natural Language Processing.
Professional
industry & research
Machine Learning Engineer
Multiverse Computing- Compress multi-billion-parameter language and multimodal models.
- Up to 50% parameter reduction at under 5% performance loss.
- Distributed training across multi-node HPC clusters.
Deep Learning Research Associate
Universidad Carlos III de Madrid
- Implemented a novel attention mechanism inside transformers.
- Evaluated it across configurations for scalability.
- Reproduced state-of-the-art transformer and VAE baselines.
Data Science Intern
Aitaca Remote Tech- Improved the accuracy of an image-based ring-size prediction model.
- Fine-tuned the core vision model on a proprietary dataset.
- Worked the full pipeline, from data engineering to production.
Academic
degrees & community
MSc in Machine Learning
Universidad Carlos III de Madrid
- Focused on the theory behind modern deep learning.
- Research-oriented, investigating agentic AI calibration.
- Starting September 2026.
Vice-President & Co-founder
AI Student Collective UC3M- Co-founded my university's first AI association.
- Run hands-on programming workshops for students.
- Scaled the team to 10+ members and industry events.
Junior Exchange Program Scholarship
University of California, Riverside
- 3.9 / 4 GPA on a competitive exchange scholarship.
- Graduate-level Deep Learning and Advanced Machine Learning.
- Computer Vision and Natural Language Processing.
BSc in Data Science & Engineering
Universidad Carlos III de Madrid
- 8.8 / 10 GPA across a four-year engineering degree.
- Core coursework in machine learning and data structures.
- Foundations in computer vision and statistical signal processing.
Contact
Whether it's a role, a collaboration, or just talking shop — my inbox is open.