Jesús Martínez is a founder and seasoned software engineer with 11 years of experience building automation, AI systems, and scalable backend architectures that let small teams operate with enterprise-level efficiency. Through DataSmarts AI and Toptal engagements he has delivered rapid, production-ready AI and retrieval systems—saving clients thousands of hours and millions in operating costs—while shipping containerized, vendor-free solutions and robust NLP pipelines. His background spans microservices, DevOps and JVM ecosystems (Scala, Clojure, Java) as well as Python and Go, and he has a track record of cutting core process times by up to 90% and halving onboarding and maintenance overhead. An active open-source contributor, he’s maintained tooling like a Scala scraper library and improved the Emacs dashboard’s CI, icon handling, and package loading—signals of his attention to long-term maintainability. Comfortable working across the US, Europe, Australia and LatAm, he combines hands-on engineering, mentoring, and product thinking to keep businesses lean but highly scalable.
11 years of coding experience
9 years of employment as a software developer
Computer Engineer, Computer Science, Computer Engineer, Computer Science at Universidad Simón Bolívar
Contributions:6 releases, 36 reviews, 32 commits in 1 year
Contributions summary:Jesús primarily contributed to the Emacs dashboard project by implementing features, fixing bugs, and improving code quality. Their work included updating Emacs versions for CI, handling icon display and fallback mechanisms using the `all-the-icons` library, and refactoring code. They also addressed package loading and versioning issues related to `straight.el` and metadata, demonstrating a focus on ensuring the dashboard's functionality and maintainability within the Emacs ecosystem.
A Scala library for scraping content from HTML pages
Role in this project:
Back-end Developer
Contributions:12 commits, 5 comments, 2 issues in 5 months
Contributions summary:Jesús focused on maintaining and updating the Scala-based scraping library. Their contributions primarily involved upgrading the project's dependencies, including Scala versions, sbt plugins, and various external libraries such as HtmlUnit, Jsoup, and Scalaz. Additionally, the user updated the build configuration, ensuring compatibility and incorporating new features for the project. These updates aimed at improving the library's functionality, performance, and overall maintainability.
html-parsingscala-librarydslscalascraping
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