Vicent Mañó
Senior Machine Learning Research Engineer at ARQUIMEA Research Center
Spain
Summary
🤩
Rockstar🎓
Top SchoolVicent Mañó is a Senior Machine Learning Research Engineer with seven years of experience specializing in computer vision and generative AI, currently tackling document-analysis challenges for banking at Cognizant and ARQUIMEA Research Center. He has driven applied research and productization across industries—from fabric texturing and interactive demos at SEDDI to deploying vision systems in automotive settings at AUTIS INGENIEROS. Vicent is a hands-on PyTorch practitioner who also contributes to prominent open-source tooling like kornia, where he improved core image-augmentation primitives (e.g., salt & pepper noise, Gaussian illumination, channel dropout). His academic background spans telecommunications, telematics, and a master’s in computer vision, underpinning a pragmatic approach that bridges research and production. Known for building interactive proofs-of-concept (Streamlit demos) and tight documentation/tests for reusable components, he combines curiosity-driven experimentation with delivery-focused engineering.
7 years of coding experience
Tecnico Superior en Administracion de Sistemas Informaticos y Redes, Tecnico Superior en Administracion de Sistemas Informaticos y Redes at IES Maria EnriquezTelematics and Computer Engineering, Telematics and Computer Engineering at Universidad Técnica Federico Santa MaríaMaster's degree in Computer Vision, Master's degree in Computer Vision at Universidad Rey Juan CarlosSOUND AND IMAGE IN TELECOMMUNICATION ENGINEERING, SOUND AND IMAGE IN TELECOMMUNICATION ENGINEERING at UA - Universidad de Alicante / Universitat d'AlacantTecnico Medio en Sistemas Microinformaticos y Redes, Tecnico Medio en Sistemas Microinformaticos y Redes at IES Enric ValorEducación Secundaria Obligatoria, Educación Secundaria Obligatoria at Colegio El Rebollet
Github Skills (10)
neural-network10
computer-vision10
pytorch10
machine-learning10
deeplearning-ai10
deep-learning10
python10
image-processing10
testing8
pytest8
Programming languages (2)
Github contributions (5)
kornia/kornia
May 2022 - May 2024
🐍 Geometric Computer Vision Library for Spatial AI
Role in this project:
ML Engineer
ML EngineerContributions:21 reviews, 10 PRs, 36 comments in 2 years
Contributions summary:Vicent's commits primarily focus on implementing and refining image augmentation techniques within the kornia library. This includes adding features like random salt and pepper noise, Gaussian illumination, and channel dropout. The contributions involve writing and modifying code, adding tests, updating documentation, and refactoring existing components to improve the library's functionality. The user appears to be developing and improving core computer vision augmentation functions.
pytorchdifferentiablepythonvisiondeep-learning
vgilabert94/kornia
Jan 2024 - Jan 2025
Geometric Computer Vision Library for SpatialAI
Contributions:116 pushes, 16 branches in 11 months
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