Kevin Gamboa is a data scientist with nine years of experience applying signal processing and machine learning to medical sensor data, currently building algorithms for the Sensor Cloud team at Medidata Solutions. He transitioned from academic model-building for clinical applications to founding AI‑Diagnostics, where he led efforts to teach models to detect patterns in physiological signals and ship diagnostic prototypes. Kevin has hands-on experience across the ML lifecycle—from DSP on lung and heart sounds to MLOps and deployment in clinical trial contexts—and contributed an open-source SpO2 simulator demonstrating practical signal simulation work. Based in London, he blends research rigor (MSc in AI) with entrepreneurial drive and a commitment to scalable, preventive healthcare solutions that bridge academia and industry.
9 years of coding experience
3 years of employment as a software developer
MSc in Artificial Intelligence, MSc in Artificial Intelligence at University of Essex
Bachelor of Engineering - BE, Bioengineering and Biomedical Engineering, Bachelor of Engineering - BE, Bioengineering and Biomedical Engineering at Universidad Autónoma de Occidente
❤️ 🔍 Open Source Project exploring Deep Learning neural network architectures and algorithms with Scikit Learn and Pytorch for the processing of heart signals. Develop by Kevin Machado and Nicolas Escobar.
Contributions:26 commits, 30 pushes, 1 branch in 3 years 1 month
Contributions:10 commits, 9 pushes, 1 branch in 2 years 2 months
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