Aditya Y
Full Stack Developer at Farm
Germany
Summary
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Rockstar🎓
Top SchoolAditya Y is a seasoned Full Stack Developer based in Germany with 15 years of experience building resilient web and cloud systems across startups and large tech firms. He blends hands-on back-end engineering, DevOps, and infrastructure expertise—evidenced by contributions to high-profile open-source projects like AWS CDK and the n8n workflow platform—while also writing thorough tests and refactoring for maintainability. His background includes senior roles at Microsoft and AWS and recent product-focused work at Klima and n8n, giving him fluency from low-level format handling (image-dimension parsing) to cloud-native infrastructure. Unusually for a senior engineer, he also runs a farm and works as an arborist, bringing practical problem-solving and endurance to complex technical challenges.
15 years of coding experience
17 years of employment as a software developer
Bachelor of Technology - BTech Electrical Electronics and Communications Engineering, Bachelor of Technology - BTech Electrical Electronics and Communications Engineering at Motilal Nehru National Institute Of Technology
English, Hindi, German
Stackoverflow
191reputation
37kreached
3answers
0questions
Github Skills (46)
javascript10
back-end-development10
image-processing10
testing10
bmp10
typescript10
cloud-infrastructure10
gif10
aws10
png10
typescript-types10
infrastructure-as-code10
nodejs10
typescripts10
cicd9
Programming languages (21)
Github contributions (5)
image-size/image-size
Jul 2013 - Dec 2022
Node module for detecting image dimensions
Role in this project:
Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:15 releases, 11 reviews, 271 commits in 9 years 6 months
Contributions summary:Aditya primarily worked on developing and testing the back-end logic for detecting image dimensions. They implemented handlers for various image formats, including PNG, GIF, BMP, PSD, and JPG. The user wrote extensive tests to ensure the correctness of dimension detection across different image types. They also refactored the code for better maintainability and added support for new image formats.
node-moduledimensionsimage-analysisimage-size
n8n-io/n8n
May 2022 - Jan 2023
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
Role in this project:Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:115 releases, 3404 reviews, 284 commits in 8 months
Contributions summary:Aditya primarily contributes to the back-end development, as demonstrated by their work on improving circular dependency reporting within the `typedi` core and updating the backend Sentry setup. Their work also involves license management. Additionally, the user demonstrates DevOps skills by working on improvements in building and releasing infrastructure for the n8n platform.
aiworkflow-automationautomationipaasn8n
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