Ricardo Pereira
Chief Artificial Intelligence Officer at CISUC - Centre for Informatics and Systems of the University of Coimbra
Coimbra, Coimbra, Portugal
Summary
🤩
Rockstar🎓
Top SchoolRicardo Pereira is a Chief Artificial Intelligence Officer and academic researcher with nine years of experience applying deep learning, synthetic data generation, and data-quality methods to real-world products and research. Holding a PhD in AI from the University of Coimbra, he bridges academia and industry—currently combining roles as a founding AI lead at SPACELING® with integrated research at CISUC and teaching responsibilities at Miguel Torga Institute. His commercial experience includes senior ML engineering at YData, where he contributed to the popular ydata-profiling library by improving categorical visualizations, correlations, and PySpark comparisons, and a track record of consultancy and workshops for both startups and enterprise clients. Equally comfortable in TensorFlow/Keras, transformers and production tooling (Docker, MLflow, Luigi), he focuses on privacy-aware synthetic data and robust imputation using autoencoder-based architectures. Known for translating cutting-edge research into usable products, he also brings less-obvious domain experience from scientific software for the XENON dark matter experiment and energy-monitoring systems.
9 years of coding experience
6 years of employment as a software developer
C1 Level Advanced English Course, C1 Level Advanced English Course at University of LisbonBachelor’s Degree Informatics Engineering (Computer Science), Bachelor’s Degree Informatics Engineering (Computer Science) at Instituto Superior de Engenharia de CoimbraDoctor of Philosophy (PhD) Informatics Engineering (Artificial Intelligence), Doctor of Philosophy (PhD) Informatics Engineering (Artificial Intelligence) at Universidade de Coimbra
Portuguese, English
Github Skills (7)
pandas10
python10
data-analysis10
statistics9
html8
jupyter7
machine-learning6
Programming languages (2)
Github contributions (5)
ydataai/ydata-profiling
Nov 2022 - Dec 2022
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Role in this project:
Data Scientist
Data ScientistContributions:13 reviews, 19 commits, 4 PRs in 7 days
Contributions summary:Ricardo primarily focused on improving the data profiling and exploratory data analysis capabilities of the `ydata-profiling` library. Their contributions included bug fixes related to the visualization of categorical data and the display of compare report warnings. Additionally, the user introduced design improvements to the correlations section, adding heatmap values in a tabular format, and addressed issues related to comparing reports when using pyspark. These efforts enhanced the user experience and the functionality of the library.
pythonjupyter-notebookpandas-profilingbig-data-analyticsstatistics
ricardodcpereira/PMIVAE
Mar 2022 - Sep 2022
Contributions:4 commits, 3 pushes, 1 branch in 5 months
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