Diego Revilla
Natural Language Processing Researcher
Bilbao, Autonomous Community of the Basque Country, Spain
Summary
👤
Senior🎓
Top SchoolDiego Revilla is a Natural Language Processing researcher and dual Computer Engineering and AI student with eight years of applied experience across NLP, computer vision and immersive systems. He has built production-ready tutoring chatbots, efficient RAG pipelines and high-performance web interfaces, and contributed research-grade algorithms for Gaussian Splatting, view synthesis and compression during a Visiting Scholar stint at NUS. Diego combines rigorous academic performance with hands-on engineering—optimizing training pipelines (memory footprints down 86%), deploying scalable services for thousands of users, and achieving practical gains like 4x compression and ~80% predictive precision in media analytics. Currently focused on 3D coordinate alignment for vision-language models, he bridges geometric insight and deep learning (e.g., geometric back-prop and fused spatial-context attention) to improve generative and multimodal systems. Colleagues note his talent for turning costly data-collection problems into synthetic-data solutions and for defining rigorous experiment and ablation strategies that yield stable learning. Based in Bilbao, he brings a blend of research depth and production impact uncommon for someone still completing dual undergraduate degrees.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Artificial Intelligence, 8.85 | 9 Honor Distinctions, Bachelor of Science - BS, Artificial Intelligence, 8.85 | 9 Honor Distinctions at University of Deusto
Spanish, English, French, Japanese
Github Skills (25)
timezone9
insertion8
parse7
bottom7
swift7
validate6
dates6
nsdate6
swiftdate6
date-formatting5
ios4
quake1
plug1
python1
knife1
Programming languages (5)
Github contributions (5)
sejja/Opengl-Graphics
Jan 2023 - Aug 2023
Contributions:4 PRs, 43 pushes, 5 branches in 7 months
sejja/GPU-Terrain-Generation-Actor-Steering
Oct 2022 - Oct 2022
Contributions:1 release, 9 commits, 7 pushes in 5 days
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