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Hire Agustín C.

Spain

R&D Engineer for Medical Devices | AI & Machine Learning Engineer specializing in biomedical signal processing

Profile Summary

I am a Biomedical Engineer and AI Master's student at UPC with 3+ years of hands-on experience applying machine learning and data science to real-world scientific problems. My work sits at the intersection of AI and biomedical research, where I design and implement Python-based computational pipelines that turn complex sensor and imaging data into actionable insights. Currently, I work as a Technical Researcher at the Hospital del Mar Research Institute (IMIM) and Universitat Pompeu Fabra, where I develop AI-assisted planning tools for Low-Intensity Focused Ultrasound (LIFUS) neuromodulation therapies. This involves applying ML pipelines to medical imaging and simulation data in close collaboration with neuroscience and medical teams. Previously, I built end-to-end data processing pipelines for non-invasive biomedical sensor devices at Telenatura EBT, and designed ML algorithms (PCA, LDA, SVM, Random Forest) for electronic nose systems at Universitat Miguel Hernández — work that led to three peer-reviewed publications in journals including Agronomy and Sensors. My core technical stack includes Python (numpy, pandas, scipy, sklearn, PyTorch), with additional experience in MATLAB, Git, and LaTeX. I am comfortable working across the full ML workflow: from raw data acquisition and signal processing to model validation and documentation. I am available for freelance research collaborations involving machine learning, biomedical data analysis, signal processing, or scientific computing.

Subject Matter Expertise

• ☆ Neuroscience
• ☆ Computational Neuroscience
• ☆ Biotechnology & Bioengineering
• ☆ Biomedical Engineering
• ☆ Electrical Engineering
• ☆ Signal Processing
• ☆ Biological Engineering
• ☆ Computer-Aided Engineering
• ☆ Data Analysis
• ☆ Machine Learning
• ☆ Artificial Intelligence
• ☆ Python
• ☆ Matlab
• ☆ SQL
• ☆ Excel
• ☆ Tensorflow
• ☆ LaTex
• ☆ Scikit-learn
• ☆ Medical Devices
• ☆ Medical Device Development
• ☆ Medical Device Safety Testing
• ☆ Medical Device Design
• ☆ Medical Device Prototyping

Services

• Writing
• Consulting
• Data & AI

Writing Non-Medical Regulatory Writing, Technical Writing

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Image Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Big Data Analytics, Text Mining & Analytics, Data Mining

Work Experience

R&D Engineer

Hospital del Mar Research Institute

September 2024 - Present

Research Assistant

Universitat Pompeu Fabra

September 2023 - September 2024

Data Engineer

Telenatura EBT

September 2022 - September 2023

Technical Specialist

Universidad Miguel Hernández de Elche

June 2021 - September 2022

Education

Master in Artificial Intelligence (Facultad Informatica de Barcelona)

Universitat Politècnica de Catalunya

September 2023 - January 2025

Biomedical Engineering

Pompeu Fabra University

September 2019 - July 2023

Certifications

• Certification details not provided.

Publications

PREPRINT

Antonio Ruiz-Canales, Gemma Martínez-Muñoz, Agustín Conesa-Celdrán, ISABEL CÁNOVAS FLORES, Daniel Martin Vertedor, Martin J Oates (2024). Detection of Different Lemon Pre-Harvest Additive Treatments by Means an Electronic Nose Prototype .

JOURNAL ARTICLE

Alba de la Rica-Martinez, Gemma Martínez-Muñoz, Marta Amoros Sanjuan, Agustín Conesa-Celdrán, Lucía Garcia-Moreno, Gabriel Estan-Cerezo, Martin J. Oates, Nieves Gonzalo-Jimenez, Antonio Ruiz-Canales (2023). Low-Cost Electronic Nose for the Determination of Urinary Infections . Sensors.

Alba de la Rica-Martinez, Gemma Martínez-Muñoz, Marta Amoros Sanjuan, Agustín Conesa-Celdrán, Lucía Garcia-Moreno, Gabriel Estan-Cerezo, Martin J. Oates, Nieves Gonzalo-Jimenez, Antonio Ruiz-Canales (2023). Low-Cost Electronic Nose for the Determination of Urinary Infections . Sensors.

Eduardo González María, Antonio Madueño Luna, Agustín Conesa Celdrán, Gemma Martínez Muñoz, Martin John Oates, Antonio Ruiz-Canales (2023). Classification of Monofloral Honeys by Measuring a Low-Cost Electronic Nose Prototype Based on Resistive Metal Oxide Sensors . Agronomy.

Eduardo González María, Antonio Madueño Luna, Agustín Conesa Celdrán, Gemma Martínez Muñoz, Martin John Oates, Antonio Ruiz-Canales (2023). Classification of Monofloral Honeys by Measuring a Low-Cost Electronic Nose Prototype Based on Resistive Metal Oxide Sensors . Agronomy.

Low-Cost Electronic Nose for Wine Variety Identification through Machine Learning Algorithms <head> <META HTTP-EQUIV="Refresh" CONTENT="0;URL=/servlet/useragent"> </head> . Agronomy.

WORKING PAPER

Detection of Different Lemon Pre-Harvest Additive Treatments by Means an Electronic Nose Prototype .