Ramiro Monroy
Data & Applied Scientist
Mexico
Summary
👤
Senior🎓
Top SchoolRamiro Monroy is a Data & Applied Scientist with eight years of experience applying deep learning, computer vision, time series forecasting, and NLP to industry problems, currently driving ML solutions at Microsoft from Mexico. He has a strong track record building production-ready systems—anomaly detection for vehicle braking, demand-forecasting models that cut manufacturing losses, OCR and document segmentation pipelines, and recommender systems for e-commerce. Comfortable across statistical methods and neural architectures (ARIMA/Holt/Prophet to autoencoders, RNNs, CNNs and CycleGANs), he blends research-minded experimentation with pragmatic deployment. He also teaches machine learning and has hands-on experience training OCR engines and AR/Unity prototyping, reflecting a rare mix of academic grounding in biomedical engineering and applied ML product delivery.
8 years of coding experience
2 years of employment as a software developer
Deep Learning Nanodegree, Artificial Intelligence, Deep Learning Nanodegree, Artificial Intelligence at UdacityStudy abroad, Nanotechnology & Biomedical Engineering, Study abroad, Nanotechnology & Biomedical Engineering at University of LeedsBachelor's degree, Biomedical/Medical Engineering, Bachelor's degree, Biomedical/Medical Engineering at Universidad de GuadalajaraCourse, Back end/front end programming, Course, Back end/front end programming at GenerationAugmented Reality with Unity3D, Augmented Reality with Unity3D at Wizeline Academy
English, Spanish
Github Skills (2)
denoising9
peak-detection9
Programming languages (3)
Github contributions (5)
RAMIRO-GM/Cardiac-frecuency-and-ECG-signal-denoising-by-EEMD
Jun 2018 - Apr 2019
ECG signal denoising using Ensemble Empirical Mode Decomposition and R peak detection (cardiac frequency) using Hilbert Transform.
Contributions:7 commits, 7 pushes, 1 branch in 9 months
denoisingpeak-detection
RAMIRO-GM/Simple-Recommender-system
Oct 2018 - Apr 2019
Contributions:1 push, 1 branch in 5 months
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