Sultan Orazbayev
Senior Scientific Computing Engineer at International Monetary Fund
Washington, District of Columbia, United States
Summary
👤
SeniorSultan Orazbayev is a Senior Scientific Computing Engineer with nine years of experience applying econometric, statistical, and machine learning methods to policy-relevant research and tooling. Based in Washington, D.C., he develops and maintains custom software (Stata, Python) and resolves scientific-computing issues across Matlab and Python for IMF economists, supporting work from time-series forecasting to big-data and distributed processing. He brings an economist’s rigor to engineering, translating complex models into auditable, production-ready code and workflows. An active open-source contributor, he has improved core documentation and algorithm clarity in the widely used NetworkX library, showing attention to reproducibility and code hygiene beyond his day job.
9 years of coding experience
Russian, English, python
Stackoverflow
15,778reputation
675kreached
761answers
36questions
pandas
top-1%
dataframe
top-5%
python
top-1%
wildcard
top-5%
networkx
top-5%
Github Skills (17)
graph-algorithms10
python10
pandas10
documentation10
graph-theory10
wildcard9
dataframe9
networkx9
numpy8
parquet6
shell6
bioinformatics6
dask-distributed6
dask6
dask-dataframes6
Programming languages (14)
Github contributions (5)
networkx/networkx
Dec 2021 - Dec 2022
Network Analysis in Python
Role in this project:
Backend Developer
Backend DeveloperContributions:28 reviews, 11 commits, 10 PRs in 11 months
Contributions summary:Sultan primarily focused on improving the documentation and code clarity within the repository. This involved correcting typos in docstrings and updating documentation to include descriptions of function arguments. They also modified code related to graph algorithms, including the calculation of triangles, and made improvements to preserve node order in relabeling functions. Additionally, the user contributed to the addition and rewording of documentation related to graph operations like adding and removing edges/nodes.
graph-analysispythoncomplex-networksgraph-theorygraph-visualization
SultanOrazbayev/python-graphblas
Nov 2022 - Jul 2023
Python library for GraphBLAS: high-performance sparse linear algebra for scalable graph analytics
Contributions:91 pushes, 14 branches in 8 months
pythonsparsenumbapattern-recognitionpydata
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.