Hameer Abbasi
Senior Software Engineer I at OpenTeams
Beaufort, Grevenmacher, Luxembourg
Summary
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Rockstar🎓
Top SchoolHameer Abbasi is a Senior Software Engineer with 12 years of experience focused on performance optimization and reducing lines of code, now based in Luxembourg. He has a strong track record contributing to core scientific Python projects—NumPy, h5py and sparse—where he improved dtype support, vectorized operations and indexing while boosting test coverage and build reliability. His background spans applied research and scientific software roles at Quansight, Spire and German Edge Cloud, translating mathematical research into production-ready code. He also contributes to documentation tooling (Sphinx) and ML tooling (SD.Next), demonstrating a blend of engineering, tooling and ML infra experience. Colleagues know him for pragmatic refactors that shrink code surface area without sacrificing performance, and for smoothing cross-platform build and ROCm/PyTorch issues that others find tricky.
12 years of coding experience
8 years of employment as a software developer
Technischen Universität DarmstadtElectrical (Telecommunications) Engineering Electrical Electronics and Communications Engineering, Electrical (Telecommunications) Engineering Electrical Electronics and Communications Engineering at National University of Sciences and Technology (NUST)A levels Physical Sciences, A levels Physical Sciences at Beaconhouse School System
English, Urdu, Sindhi, German
Stackoverflow
1,304reputation
80kreached
22answers
38questions
Github Skills (33)
algorithm10
algorithms10
hdf10
pytorch10
sparse-array10
restructuredtext10
python10
datatypes10
sphinx10
testing10
indexing10
diffusers10
data-structure10
numpy10
data-structures10
Programming languages (22)
Github contributions (5)
pydata/sparse
Dec 2017 - Aug 2022
Sparse multi-dimensional arrays for the PyData ecosystem
Role in this project:
Back-end Developer
Back-end DeveloperContributions:528 reviews, 248 commits, 639 PRs in 4 years 8 months
Contributions summary:Hameer primarily focused on implementing and improving core functionalities within the `sparse` library. Their contributions included the implementation of bitwise and other element-wise operations, and the addition of triu/tril methods. They also refactored existing code, unified different types of operations, and improved indexing. Moreover, the user was involved in enhancing the build process and improving code coverage by creating tests and addressing issues that arose during the build and test phase.
multi-dimensionalpythonsparsekd-treepydata
numpy/numpy
Feb 2018 - May 2021
The fundamental package for scientific computing with Python.
Role in this project:Back-end Developer
Back-end DeveloperContributions:43 reviews, 69 commits, 22 PRs in 3 years 3 months
Contributions summary:Hameer contributed to the NumPy library by implementing, modifying, and improving internal functions within the `numpy/numpy` repository, specifically the core and random modules. The commits show the unification of reductions in `fromnumeric.py`, fixing of negative binomial documentation, and implementation of initial kwargs for ufunc. The user also added benchmarks, fixed existing benchmarks and modified them for radix sort.
lapackpythonmpindarrayconvolution
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