AleksandarĀ Jelenak
Senior Informatics Architect
Springfield, Virginia, United States
Summary
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Top SchoolAleksandar Jelenak is a Senior Informatics Architect with 11 years in his current field and a long career shaping scientific data infrastructure, currently based in Springfield, Virginia. He brings deep domain expertise from roles at The HDF Group and NOAA/NESDIS/STAR, combining hands-on backend development with stewardship of large-scale atmospheric and satellite data repositories. Aleksandar holds a PhD in Satellite Remote Sensing and a Dipl. Ing. in Engineering Physics, grounding his engineering work in rigorous research. An active open-source contributor, he has made substantive C/Cython contributions to the widely used h5py library, extending support for HDF5 virtual datasets and bridging Python APIs with the native HDF5 C API. Colleagues rely on him to translate complex scientific data models into robust, version-compatible tooling that scales for research and operational systems.
11 years of coding experience
9 years of employment as a software developer
Dipl. Ing., Engineering Physics, Dipl. Ing., Engineering Physics at University of BelgradePhD, Physics - Satellite Remote Sensing, PhD, Physics - Satellite Remote Sensing at University of Waikato
English, Serbian
Github Skills (11)
data-storage10
hdf10
api10
python10
apidoc10
cython10
data-engineering9
c119
c179
data-structures8
data-structure8
Programming languages (14)
Github contributions (5)
h5py/h5py
Dec 2015 - Jan 2023
HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:23 reviews, 92 commits, 32 PRs in 7 years 2 months
Contributions summary:Aleksandar primarily contributed to the `h5py` library, which provides a Pythonic interface to the HDF5 binary data format. Their work focused on enhancing the library's support for virtual datasets (VDS), a core feature of HDF5, including the addition of methods for handling and querying VDS metadata. The commits involved modifying C code and Cython files, indicating a strong grasp of the underlying HDF5 C API and its Python bindings. Their contributions included adding support for new HDF5 functions, such as those related to VDS, and ensuring that the library maintained compatibility with various HDF5 versions.
binary-datah5pyhdfpython
HDFGroup/zarr-python
Jan 2020 - Feb 2021
An implementation of chunked, compressed, N-dimensional arrays for Python.
Contributions:9 commits, 16 pushes, 3 branches in 1 year
n-dimensionalpython
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