I seek impactful roles applying deep learning and XAI to computer vision in interdisciplinary practical-technical teams, owning end-to-end ML pipelines and mentoring others.
Jorge García-Torres Fernández
@jorge-gtf
I'm an AI researcher and machine learning engineer with a PhD in computer vision and deep learning.
What I'm looking for
I’m passionate about turning research into products that solve real problems — from video analysis systems for neonatal care to sign language recognition tools that improve accessibility. I bring experience in the full data and model development cycle — from data acquisition, curation, and preprocessing, to model training, testing, and real-world inference through pilot implementations.
I enjoy working at the intersection of AI and impact, collaborating with interdisciplinary teams, and building solutions that are not only accurate, but also transparent and trustworthy.
Experience
Work history, roles, and key accomplishments
Research Fellow
University of Stavanger
Jan 2021 - Jan 2025 (4 years)
Developed AI systems for thermal and RGB video to extract clinically relevant information for neonatal care; led data acquisition, curation, and annotation and integrated XAI to ensure transparency in clinical deployments.
Deep Learning Developer
Showleap Technologies
Jan 2018 - Jan 2020 (2 years)
Designed and trained AI models for sign language recognition using video analysis and built full ML pipelines on GCP and AWS; contributed to the transition from armband sensors to camera-based systems, improving usability for end users.
Education
Degrees, certifications, and relevant coursework
University of Stavanger
Doctor of Philosophy, Image Processing and Machine Learning
2021 - 2025
Ph.D. research analyzing thermal and visual-light video data from birth episodes using artificial intelligence to extract clinically relevant information.
Polytechnic University of Madrid
Master of Science, Signal Processing and Machine Learning for Big Data
2017 - 2018
M.Sc. focused on signal processing and machine learning with a thesis on development of deep reinforcement learning algorithms for deterministic games.
University of Granada
Bachelor of Engineering, Industrial Electronic Engineering
2012 - 2017
Bachelor of Engineering in Industrial Electronic Engineering with a thesis on EEG signal processing for characterization of meditation and attention states.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Social media
Job categories
Skills
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