Aidos Kanapyanov
Software Engineer at Andersen Lab
Astana, Astana, Kazakhstan
Summary
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Rockstar🎓
Top SchoolAidos Kanapyanov is a pragmatic software engineer with six years of experience building scalable web applications and data pipelines, currently contributing at Andersen Lab after a multi-year role at the National Payments Corporation of Kazakhstan. He spans full-stack web tech—FastAPI, Flask, Django, React, Next.js, Express.js—while optimizing backend performance with PostgreSQL tuning, Dockerized CI/CD, and robust Pytest coverage. His background in data science and finance (including MS in Finance) informs practical ML model deployment and analytics work, from recommendation systems and A/B testing to production-ready APIs. Aidos has reduced storage costs and improved query performance using Parquet and S3, and applies web scraping and async tooling to gather large public datasets. An active open-source contributor in the Python data ecosystem and to the Narwhals package, he blends engineering rigor with a researcher’s curiosity and a track record of measurable impact.
6 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Finance, General, Master of Science - MS, Finance, General at Nazarbayev University Graduate School of BusinessBachelor of Engineering - BE, Electrical and Computer Engineering, Bachelor of Engineering - BE, Electrical and Computer Engineering at Nazarbayev University
Kazakh, Russian, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (91)
python10
data-manipulation10
pyspark10
cookiecutter10
pair-programming10
heroku10
django10
dataframes10
pandas10
code-review10
ibis10
pylint10
data-science10
google10
data-analysis10
Programming languages (6)
Github contributions (5)
aidoskanapyanov/narwhals
Jul 2024 - Oct 2024
Lightweight and extensible compatibility layer between dataframe libraries!
Contributions:51 pushes, 43 branches in 3 months
aidoskanapyanov/pandas
Jan 2024 - Apr 2024
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Contributions:16 pushes, 3 branches in 2 months
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