Bernardo Marques
Head Of Artificial Intelligence at Desai
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolBernardo Marques is a Head of Artificial Intelligence with a decade of experience building and scaling applied AI, specialising in computer vision and medical imaging. He has progressed from research roles at Imperial College and Philips to leading applied research and staff scientist positions at Tractable, and now heads AI at Desai, consistently translating state-of-the-art models into production impact. His hands-on contributions include improving training observability in the well-known DeepMedic 3D medical segmentation codebase, reflecting a focus on robust model development and monitoring. Bernardo combines academic rigor from dual master’s studies and deep learning specialisations with product-oriented delivery for customers across industry, and he actively steers AI toward sustainability and environmental impact.
10 years of coding experience
6 years of employment as a software developer
Double Degree Master's Wireless Systems, Double Degree Master's Wireless Systems at KTH Royal Institute of TechnologyATHENS Programme course Big Data Stream Mining, ATHENS Programme course Big Data Stream Mining at Télécom ParisSecondary Education Science and Technology, Secondary Education Science and Technology at Colégio de Santa DoroteiaCoursera Online Course Deep Learning Specialisation, Coursera Online Course Deep Learning Specialisation at deeplearning.aiClimate Change: Learning for Action, Climate Change: Learning for Action at Terra.doDouble Degree Master's Electrical and Computer Engineering, Double Degree Master's Electrical and Computer Engineering at Instituto Superior TécnicoCoursera Online Course Machine Learning, Coursera Online Course Machine Learning at Stanford University
Portuguese, English, Spanish, French, Swedish, German, Afrikaans
Github Skills (5)
neural-network10
machine-learning10
convolutional-neural-networks10
deep-learning10
tensorflow10
Programming languages (1)
Github contributions (5)
deepmedic/deepmedic
Jul 2019 - Aug 2020
Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans
Role in this project:
ML Engineer
ML EngineerContributions:228 commits, 11 PRs, 92 pushes in 1 year
Contributions summary:Bernardo contributed to the `deepmedic/deepmedic` repository by adding and modifying code related to tensorboard logging functionality within the training process. The changes included adding tensorboard options to the training configuration, incorporating tensorboard logging prints in the accuracy monitoring code, and integrating tensorboard loggers within the training routines. These modifications suggest the user focused on improving the model's training and validation process through enhanced monitoring and visualization capabilities.
pytorchdeep-learningconvolutional-neural-networkcomputer-visionconvolutional
deepmedic/deepmedic.github.io
Mar 2020 - Jun 2020
Contributions:33 commits, 31 pushes, 1 branch in 2 months
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