Adam Kania

Software Engineer IT Consultant at T-Systems on site services GmbH

Silesian Voivodeship, Poland
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Summary

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Rockstar
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Adam Kania is a seasoned Software Engineer and IT Consultant with seven years of experience designing, implementing, and refactoring enterprise-grade applications for automotive and energy customers. He combines strong backend expertise in Java, J2EE, Spring, Hibernate and Oracle with hands-on experience in architecture, database design and migrating legacy PL/SQL to modern Java solutions. At T-Systems and Vattenfall he delivered critical systems ranging from shortage-management tools to smart-meter visualizations and e-mobility integration platforms, often owning design, team coordination and deployment pipelines. He contributes to open-source education in quantum computing as a technical writer on Microsoft’s widely used QuantumKatas, improving tutorials and learning materials for Q# learners. With dual MSc backgrounds in Information Technology and Mathematics and early research-oriented apprenticeships at DESY, he brings both rigorous analytical thinking and practical engineering to complex integration problems. Based in Silesian Voivodeship, Poland, he’s comfortable bridging legacy enterprise systems and modern software practices while mentoring teams through technical transitions.
code7 years of coding experience
job4 years of employment as a software developer
bookMaster of Science (MSc), Information Technology, very good, Master of Science (MSc), Information Technology, very good at The Silesian University of Technology
languagesEnglish, German, Polish
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Github Skills (5)

user-manual10
quantum-computing10
recipe10
learn-ruby-on-rails10
basics10

Programming languages (5)

JavaQ#Jupyter NotebookPythonKotlin

Github contributions (5)

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microsoft/QuantumKatas

Jul 2022 - Sep 2022

Tutorials and programming exercises for learning Q# and quantum computing
Role in this project:
userTechnical Writer
Contributions:11 reviews, 6 commits, 6 PRs in 1 month
Contributions summary:Adam primarily contributed to documentation and tutorial content within the repository. Their commits include fixing image URLs, correcting typos, and adding hints and new tasks to existing tutorials. The focus of the changes is to improve the clarity and accuracy of the learning materials related to quantum computing concepts and Q# programming. Specifically, they updated workbooks, enhancing the educational value for users learning Q#.
quantum-computingqsharpcoding-kataquantum-programming
remilvus/random-predictor

May 2019 - Nov 2020

Contributions:32 commits, 35 pushes, 1 branch in 1 year 6 months
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