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Fernando Plou LlorenteFL
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Fernando Plou Llorente

@fernandoploullorente

Python developer and machine learning researcher at the University of Oviedo’s QHPC Group who developed LazyQML and pLazyQML.

Spain
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What I'm looking for

I want to bring my Python and machine learning foundation to AI-based solutions, backend services, and data workflows on a real product, learning through code reviews with senior engineers.

At the University of Oviedo’s QHPC Group, I designed and developed LazyQML, a Python library for simulating and benchmarking quantum machine learning models. It was published in Lecture Notes in Computer Science.

I built pLazyQML, a parallel package for executing quantum machine learning models on classical computers, published in the Journal of Supercomputing. I also researched and implemented machine learning and quantum machine learning models for classification and data analysis.

My work included distributed computing in Python, working-level CUDA, and tensor-network methods for quantum circuit simulation in HPC environments. I hold a Master’s Degree in Mathematical Modeling and Research in Mathematics, Statistics and Computing and a Bachelor’s Degree in Physics, and I want to apply my Python and machine learning foundation to AI-based solutions, backend services, and data workflows on a real product while learning through code reviews with senior engineers.

Experience

Work history, roles, and key accomplishments

University of Oviedo logoUO

Computer Science Researcher

University of Oviedo

Apr 2024 - Jan 2026 (1 year 9 months)

Designed and developed LazyQML and pLazyQML, open-source Python libraries for simulating and benchmarking quantum machine learning models, published in peer-reviewed journals. Researched and implemented machine learning and quantum machine learning models for classification and data analysis, applying distributed computing and CUDA for HPC-scale workloads.

Education

Degrees, certifications, and relevant coursework

University of Zaragoza logoUZ

University of Zaragoza

Master's Degree, Mathematical Modeling and Research in Mathematics, Statistics and Computing

2021 - 2023

Grade: 8.6

Master's Degree in Mathematical Modeling and Research in Mathematics, Statistics and Computing. Thesis on classification of heart and lung sounds using quantum machine learning models, with results published at ASPAI 2023. Final grade: 8.6.

University of Zaragoza logoUZ

University of Zaragoza

Bachelor's Degree, Physics

2016 - 2021

Grade: 7.4

Bachelor's Degree in Physics. Thesis on implementation of Density Functional Theory in QuTiP. Final grade: 7.4.

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