Miguel Madrid-mencía is a Senior Machine Learning & AI Engineer with 12 years of experience building backend, cloud, and production ML systems focused on genomics, healthcare, and precision medicine. He combines hands-on engineering at Egen with a research-rooted background from Illumina, INSERM and BSC, where he designed ML pipelines, Snowflake data models, and reproducible multi-omics workflows that underpin published cancer biology tools. Miguel has delivered agent orchestration for biotech and automated testing frameworks for Voice AI, while hardening CI/CD and security for high-stakes financial and clinical deployments. He co-authored a pending patent in applied bioinformatics and maintains tools like the GARDEN-NET 3D chromatin viewer that remain in active scientific use. Comfortable bridging research and production, he excels at turning complex genomic data policies and privacy challenges into scalable, auditable pipelines. Based in Toulouse, he blends bioinformatics rigor with cloud-native engineering to ship reliable systems at scale.
13 years of coding experience
6 years of employment as a software developer
Bioinformatics and Computational Biology Master, Bioinformatics, Bioinformatics and Computational Biology Master, Bioinformatics at Instituto de Salud Carlos III
Grado en ingeniería informática, Information Technology, Grado en ingeniería informática, Information Technology at Facultad de Informática (Universidad Complutense de Madrid)
Contributions:2 PRs, 218 pushes, 40 branches in 8 months
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