Adam Pol
Developer at HESTON Consulting Sp. z o.o.
Warsaw, Masovian Voivodeship, Poland
Summary
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SeniorAdam Pol is a developer based in Warsaw with 11 years of experience specializing in database systems, BI development and business-process automation. He transitioned from team leadership and operations—managing and scaling teams up to 15 people at Nielsen—to hands-on roles focused on data quality, ETL and analytics at HESTON Consulting. His background spans public-sector database administration (meteorological/hydrological systems), migration and process takeover projects, and systematic automation of production pipelines using SQL, R and scripting. Adam also contributes to open-source, maintaining compatibility in a Julia TensorFlow wrapper, demonstrating attention to long-term code health and cross-version portability. A practical problem-solver, he blends people leadership with deep operational knowledge of data systems and a knack for turning complex legacy processes into reliable, auditable solutions. Outside work he’s an avid hiker, which reflects his preference for structured planning and steady progress.
11 years of coding experience
Stackoverflow
7,772reputation
897kreached
42answers
145questions
Github Skills (16)
maintainability10
machine-learning10
tensorflow10
julia10
wrapper9
gpu7
parallel-processing6
merge6
rows6
append6
python6
dataframe6
r6
devtools6
manim6
Programming languages (25)
Github contributions (5)
malmaud/TensorFlow.jl
Aug 2018 - Aug 2018
A Julia wrapper for TensorFlow
Role in this project:
Back-end Developer
Back-end DeveloperContributions:35 commits, 1 PR, 29 comments in 9 days
Contributions summary:Adam primarily contributed to the `TensorFlow.jl` project by fixing deprecated functions and methods. They updated the code to replace deprecated functions like `Sys.iswindows()` and `mv`, ensuring the code's compatibility with newer Julia versions. Furthermore, the user replaced the `info`, `warn`, and `error` functions with their macro equivalents, contributing to code maintainability and clarity. The user also addressed various deprecation warnings and made fixes related to Julia version upgrades, showing a focus on maintaining the project's functionality and compatibility.
julia-wrappermlmachine-learningtensorflowjulia
adamryczkowski/update-all
Dec 2017 - Mar 2025
Contributions:98 pushes, 1 branch in 7 years 3 months
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