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Hi, I'm Ivan 👋

Having worked as a developer for more than 20 years, I am passionate about exploring topics such as Compilers, Data Science and Open Science. I have some knowledge in a variety of programming languages such as Python, C++, JavaScript, PHP, VB, JAVA, Rust, ShellScript, etc used for back-end, front-end, DevOps, and packaging. I had the chance to contribute to a few scientific projects as a Research Software Engineer (RSE) for Transportation Engineering and Public Health.

I’ve contributed to open source projects such as PyTorch, ibis-framework, and the Jupyter ecosystem, and I’ve created and been maintained some tools that helps to improve the development workflow such as MakIm, and Containers-Sugar.

Currently, I am also creating a compiler using LLVM (initially based on Kaleidoscope LLVM tutorial) that will support Apache Arrow datatype as native types. Some of the libraries and tools I’ve used in the last years are: LLVM, ibis-framework, pandas, PostgreSQL, Django, Django-rest framework, fastapi, flask, GraphQL, Vue.js, JQuery, conda/conda-constructor/conda-build, Docker, mkdocs, and others.

As an Open Science enthusiast, I’ve also recently contributed to PyOpenSci as a package reviewer, review editor, and advisor, and I am leading a community called Open Science Labs, that aims to create an open and safe space for learning, teaching and sharing knowledge, besides generating opoortunities among the community and projects affiliated..

  • 🌱 I’m currently working on the ArxLang, a compiler that aims to have Apache Arrow datatype as native datatypes.
  • 👯 I’m looking to collaborate on compiler projects
  • 🤔 I’m looking for help with opensciencelabs
  • 📫 How to reach me: twitter and linkedin
  • 😄 Pronouns: he/him

Ivan Ogasawara's Projects

arrow icon arrow

Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. It also provides computational libraries and zero-copy streaming messaging and interprocess communication. Languages currently supported include C, C++, Java, JavaScript, Python, and Ruby.

conda-on-air icon conda-on-air

A project that allows the local build and installation of an existent conda-forge feedstock

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