David Olivé
Head Of Cloud And Data Analytics
Barcelona, Catalonia, Spain
Summary
🤩
Rockstar🎓
Top SchoolDavid Olivé is Head of Cloud and Data Analytics with 15+ years of experience delivering production-ready data pipelines, ML systems and cloud architectures across enterprise and open-source environments. He blends hands-on engineering—building serverless data lakes, Airflow pipelines and TensorFlow forecasting models—with leadership in DataOps, CI/CD and mentoring teams at companies like BHP, Moodle and Xailient. His work spans AWS-native services (Glue, Kinesis, Lambda, SageMaker) and tools such as Snowflake and dbt, accelerating iteration cycles and operationalising ML in the wild. An active open-source contributor, he has improved core backend logic in Moodle and enhanced PHP-ML with model persistence and neural network fixes, reflecting a pragmatic focus on reliability and reuse. Trained with an MPhil in Machine Learning and dual AWS certifications, he combines formal research depth with a systems-minded approach to shipping scalable, maintainable analytics products.
15 years of coding experience
17 years of employment as a software developer
Master of Philosophy (MPhil), Machine Learning, Master of Philosophy (MPhil), Machine Learning at The University of Western AustraliaPsychology, Psychology at Universitat Rovira i VirgiliSystems Administration, Computer Science, Systems Administration, Computer Science at Institut Vidal i BarraquerUOC (Universitat Oberta de Catalunya)
English, Spanish, Catalan
Github Skills (15)
neural-network10
machine-learning10
php10
moodle-api10
classification10
backpropagation9
database9
phpunit9
data-structure9
database-api9
struct9
data-structures9
regression9
databases9
version-control8
Programming languages (8)
Github contributions (5)
jorgecasas/php-ml
Feb 2017 - Jan 2018
PHP Machine Learning library
Role in this project:
ML Engineer
ML EngineerContributions:13 commits in 11 months
Contributions summary:David made significant contributions to the PHP-ML library, focusing on enhancing machine-learning model capabilities and improving the framework's usability. They implemented support for multiple training datasets in various classifiers, including DecisionTree, NaiveBayes, and LeastSquares, improving their flexibility. Furthermore, the user added a persistence layer with save/restore capabilities for models, enhancing the library's utility for long-term use. Their work extended to improvements in neural networks, addressing backpropagation errors, and supporting different activation functions, leading to improved model accuracy.
machine-learningphp
moodle/moodle
Dec 2011 - Apr 2019
Moodle - the world's open source learning platform
Role in this project:Back-end Developer
Back-end DeveloperContributions:414 commits, 129 pushes, 6 tags in 7 years 5 months
Contributions summary:David primarily focused on integrating the question type icon quiz manual grading overview. They implemented features for managing blocks and their functionalities within the library, particularly around features such as required by theme block types and the settings for those blocks. These changes involved modifications to core block management in `lib/blocklib.php`, indicating a focus on backend logic related to content structure and display within the Moodle platform.
moodle
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.