Miguel Hurtado is a software developer with 11 years of experience, specializing in React.js frontends and full-stack systems that bridge data science and production engineering. He has built research-focused tools at EPFL, led fintech ML initiatives for churn and lead prediction, and now helps ship a low-code, AI-driven orchestration platform at Nexthink that improves IT productivity. Comfortable across JavaScript, Python, Elixir and Docker, he also contributes to core open-source projects like Node.js with focused code-quality improvements. Miguel’s background in mass spectrometry and domain-specific ML libraries reflects a rare blend of scientific rigor and product delivery, and he’s motivated by using technology to create social impact. Outside work he values family, spiritual growth, and table-top RPGs, which inform his collaborative and curious approach to problem solving.
11 years of coding experience
3 years of employment as a software developer
Bachelor in Science, Computer Science, Bachelor in Science, Computer Science at Universidad Nacional de Colombia
Contributions summary:Miguel's contributions primarily involve fixing typos and naming anonymous functions within the Node.js codebase. These fixes span multiple core modules like `readline`, `http`, and `dns`. The user has also contributed to refactoring tests, replacing `indexOf` with `includes` in several test files. The work demonstrates a focus on code quality and adherence to the project's standards.
Contributions:58 commits, 9 PRs, 62 pushes in 4 months
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