Daniel Sánchez is a senior full-stack software engineer based in Mexico City with 5–6 years of experience building cloud-native web products and ML infrastructure. He has practical expertise in Python, TypeScript/React, AWS, Terraform, and Bazel, and has improved CI/CD and build systems—most notably creating a "culprit finder" for GitHub Actions and extending Bazel rules for large Python libraries. His background spans real-time data systems for seismic monitoring, scientific open-source tooling in pharmacophore modeling, and scalable backend architectures for security products, showing a blend of research-driven and production-grade engineering. Daniel mentors junior engineers and champions test-driven development and infrastructure-as-code to increase reliability and maintainability. An unconventional asset is his biochemical engineering education, which informs his ability to translate complex scientific requirements into practical software solutions.
6 years of coding experience
5 years of employment as a software developer
Engineer's degree Biochemical Engineering, Engineer's degree Biochemical Engineering at UAM Universidad Autónoma Metropolitana
Contributions:4 PRs, 70 pushes, 4 branches in 1 year 3 months
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