Karolina Piekarz

Office Manager & Procurement at Clone

Lower Silesian Voivodeship, Poland
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Summary

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Rockstar
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Top School
Karolina Piekarz is an operations and office management professional with 9 years’ experience streamlining processes across startups and larger organizations, most recently managing office operations and procurement at Clone. She has a proven track record at Luxonis of cutting shipping costs dramatically, scaling e-commerce and logistics workflows, and single-handedly running the majority of global customer support while translating technical feedback into clearer product documentation. Comfortable bridging product, support, and supply chain teams, Karolina combines analytical problem-solving with a people-first approach to build internal workflows people actually use. Her background in technical documentation (including contributions to the DepthAI Python project) and formal studies in computer science give her a rare mix of operational discipline and technical literacy. She excels in mission-driven environments—especially tech, education, and sustainability—where pragmatic systems and calm execution matter.
code9 years of coding experience
job10 years of employment as a software developer
bookComputer Science (Embedded Systems), Computer Science (Embedded Systems) at Szczecińska Szkoła Wyższa Collegium Balticum
bookMaster of Arts - MA, HISTORY, Master of Arts - MA, HISTORY at Uniwersytet Szczeciński
bookComputer Science (Programming Methods), Computer Science (Programming Methods) at Zachodniopomorski Uniwersytet Technologiczny w Szczecinie
languagesEnglish, Polish
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Github Skills (6)

rs10
restructuredtext10
sphinx10
documentation10
virtualbox7
vmware7

Programming languages (5)

C++CSSHTMLJupyter NotebookPython

Github contributions (5)

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luxonis/depthai-python

Mar 2021 - Jun 2021

DepthAI Python Library
Role in this project:
userTechnical Writer
Contributions:17 reviews, 38 commits, 18 PRs in 3 months
Contributions summary:Karolina primarily contributed to the repository by updating and expanding the documentation. The commits included adding documentation for new examples (mono camera control, color rotate warp), correcting links, adding installation guides for specific platforms (KVM, VMware, Jetson Nano, Virtual Box), and updating existing documentation (hello world tutorial). These changes improved the clarity and completeness of the project's documentation.
pytorchpython-librarypythondeep-learningmachine-learning
cafemoloko/coffee_feedback

Aug 2019 - Jun 2023

simple app to test sending email with feedback submitted on page
Contributions:2 PRs, 11 pushes, 1 branch in 3 years 10 months
emailemail-sendingsendingsimple-appfeedback
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