Juan Lopez is a Senior Data Scientist with seven years of experience blending research-grade signal processing and pattern recognition with cloud-native ML engineering on Google Cloud. He holds an MSc in Computer Science from Universidad Nacional de Colombia and has applied his expertise to domains ranging from EEG and motor imagery to computer vision, predictive maintenance for rotating machinery, and NLP. Juan has moved projects from academia into industry across roles at Globant, Oiga Technologies and earlier research posts, pairing algorithm design with production deployments. As a Google Cloud–certified Data Engineer and active GitHub project owner, he favors practical, data-driven solutions for unstructured and time-series data and often bridges the gap between experimental models and scalable pipelines.
6 years of coding experience
4 years of employment as a software developer
Master of Engineering - MSc Computer Science, Master of Engineering - MSc Computer Science at Universidad Nacional de Colombia
face liveness detection activate, the script asks the person to generate an action, for example one of the actions they may ask you to do is smile, turn your face to the right, get angry, blink, etc. The actions are requested randomly, after fulfilling all the actions it generates a message saying "liveness successful" or "liveness fail"
Contributions:12 commits, 10 pushes, 1 branch in 18 days
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