Muhammad Hasan

Backend Software Engineer at Elli - A Brand of the Volkswagen Group

Dortmund, North Rhine-Westphalia, Germany
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Summary

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Senior
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Top School
Muhammad Hasan is a backend software engineer based in Dortmund with 12 years of experience building web and logistics systems across startups and enterprise teams. He combines deep hands-on expertise in the JavaScript/TypeScript ecosystem—including Node.js and React—with an MS in Global Software Development from Hochschule Fulda. At Zalando he helped shape internal full‑stack logistics tools, and he now focuses on backend services at Elli within the Volkswagen Group. His background spans ML projects (improving an NVIDIA-based classifier from 79% to 92%), frontend migrations, and automation, reflecting a rare blend of production backend, data/ML pipeline, and frontend experience. Comfortable collaborating across time zones, he brings pragmatic engineering—shipping measurable model and product improvements—rather than theoretical proofs.
code12 years of coding experience
job5 years of employment as a software developer
bookIntermediate, Pre-Engineering, Intermediate, Pre-Engineering at Adamjee Science College
bookMaster of Science - MS, Computer Software Engineering, Master of Science - MS, Computer Software Engineering at Hochschule Fulda
bookBachelor of Engineering (BEng), Computer Software Engineering, Bachelor of Engineering (BEng), Computer Software Engineering at NED University of Engineering and Technology
bookMatriculation , Pre-Engineering, Matriculation , Pre-Engineering at Civil Aviation Authority Model School 2
languagesEnglish, Urdu
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Stackoverflow

Stats
321reputation
14kreached
5answers
2questions
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Github Skills (61)

visual-studio-code10
electron10
microsoft10
typescript10
editor10
codemod10
material-design9
angular9
shell8
nvm8
dragula8
pipe8
lts8
bash8
javascript8

Programming languages (8)

TypeScriptJavaShellJavaScriptGoObjective-CHTMLPython

Github contributions (5)

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AmmarHasan/JavaCodeAnalyzer

Apr 2018 - Jul 2018

Contributions:35 commits, 11 PRs, 20 pushes in 3 months
A study of high-level traffic scene classification using Machine Learning
Contributions:43 pushes, 5 branches in 5 months
deep-learninghigh-levelmachine-learningscene-classificationscene
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