Piotr Storożenko
Software Engineer at Snowflake
Warsaw, Masovian Voivodeship, Poland
Summary
👤
Senior🎓
Top SchoolPiotr Storożenko is a software engineer and ML practitioner with nine years of experience bridging research-grade data science and production engineering, now building AI-focused systems at Snowflake. He progressed through roles at Appsilon from ML engineer to Innovation Lead, delivering applied ML solutions and leading technical initiatives, and earlier worked as a data scientist at ING and on information-diffusion research. A physicist by training with dual engineering degrees from Politechnika Warszawska, Piotr brings strong numerical instincts and a curiosity-driven approach to problem solving. He contributes to Julia's DataFrames.jl by optimizing core functions for performance and memory efficiency, reflecting a knack for low-level optimization in high-level data tooling. Based in Warsaw, he combines academic rigor with practical delivery, often tackling performance and type-stability challenges that lie beneath smooth ML pipelines.
9 years of coding experience
5 years of employment as a software developer
Warsaw University of Technology
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (8)
data-structures10
datatable10
data-structure10
tabular10
julia10
data-analysis9
algorithms9
testing8
Programming languages (14)
Github contributions (5)
JuliaData/DataFrames.jl
May 2021 - Sep 2021
In-memory tabular data in Julia
Role in this project:
Back-end Developer
Back-end DeveloperContributions:32 reviews, 6 commits, 6 PRs in 4 months
Contributions summary:Piotr focused on optimizing and improving the `dataframes.jl` library, primarily by enhancing the performance and stability of existing functions. They optimized the `completecases` function for efficiency and type stability and refined the `_findall` function to reduce memory allocation. Additionally, the user implemented changes to the `join` functionality, including `matchmissing` parameter. Overall, the contributions centered on code optimization and expanding library features.
memorydataframesdatatabular-datadata-frame
pstorozenko/YP2018-PythonPodstawy
Nov 2018 - Jan 2019
Contributions:46 commits, 39 pushes, 1 branch in 2 months
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