Martín Gaitán is a seasoned Python developer and entrepreneur with 15 years of experience building web and scientific software, from founding a web agency at 19 to co-founding Phasety, a Tecnoemprendores-winning startup for thermodynamics solutions in oil and gas. A longtime Pythonista since 2006, he specializes in Django, scientific computing (NumPy, SciPy, matplotlib) and performance-focused tooling like Cython and Fortran integrations. He has led developer experience and platform improvements at ShipHero—delivering a central CLI and speeding CI 20x to save six figures annually—while also contributing to high-profile open-source projects such as IPython, Nikola and MoviePy. Comfortable across full-stack and backend roles, Martín blends academic rigor with product-focused engineering and strong test automation practices. He champions open standards and free software, maintains technical writing through blogs, and often solves domain-specific numerical problems that bridge research and production.
15 years of coding experience
12 years of employment as a software developer
Ingeniería Electrónica, Ingeniería Electrónica at Universidad Nacional del Comahue
Ingeniero en Computación computación sistemas operativos programación orientada a objetos, Ingeniero en Computación computación sistemas operativos programación orientada a objetos at Universidad Nacional de Córdoba
Contributions:15 reviews, 22 commits, 17 PRs in 6 years 9 months
Contributions summary:Martín primarily contributed to improving the MoviePy project through code formatting, bug fixes, and documentation updates. They corrected errors in documentation, refactored code for better readability, and applied Black formatting to ensure consistent style across the codebase. Additionally, the user removed deprecated methods and arguments, streamlining the API and improving maintainability.
Contributions:15 commits, 1 PR, 2 comments in 1 year 5 months
Contributions summary:Martín significantly contributed to the `django-analytical` project by updating and refining the Uservoice integration, which involved modifying template tags, settings, and documentation to improve user feedback collection. They flattened the configuration of the Uservoice integration and added the ability to hide the default trigger. Furthermore, they added user identification functionality and improved test coverage for the Uservoice tag. This work demonstrates a focus on improving the usability and functionality of the analytical tools.
analyticspythondjango-frameworkdjangotemplates
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Martín Gaitán - Semi Junior Python Developer at Shiphero