Shivam Sood

Software Engineer at Tata Consultancy Services

Punjab, India
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Summary

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Rockstar
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Shivam Sood is a software engineer from Punjab, India with four years of experience focused on web design and front-end development using ReactJS and NextJS. He has contributed to high-profile open-source projects like Layer5, where he implemented dynamic theming fixes and improved dark-mode image handling on the Projects page. A former mentee in the LFX ’23 program and brief contributor at The Linux Foundation, Shivam blends practical enterprise experience at Tata Consultancy Services with community-driven open-source work. Trained in Instrumentation Technology (BTech, 8 CGPA) from NIT Jalandhar, he brings a pragmatic eye for UI details and accessibility that helps bridge design intent and production-ready implementations.
code4 years of coding experience
bookBachelor of Technology - BTech, Instrumentation Technology/Technician, 8 CGPA, Bachelor of Technology - BTech, Instrumentation Technology/Technician, 8 CGPA at Dr B R Ambedkar National Institute of Technology, Jalandhar
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Github Skills (4)

css10
javascript10
react10
gatsby8

Programming languages (3)

JavaScriptGoHTML

Github contributions (5)

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layer5io/layer5

Nov 2022 - Jan 2023

Layer5, expect more from your infrastructure
Role in this project:
userFront-end Developer
Contributions:60 reviews, 20 commits, 142 PRs in 1 month
Contributions summary:This user, Shivam-AfA, primarily focused on front-end development within the Layer5 repository. Their contributions included fixing issues related to dark theme images on the Projects page and merging branch 'master' into their feature branch to address image and styling corrections. Shivam-AfA updated the image sources to dynamically switch between light and dark mode, also updating the thumbnail to reflect the theme and fixing the cutoff issue within the thumbnail.
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Shivam-AfA/layer5

Nov 2022 - Jul 2023

Layer5, expect more from your infrastructure
Contributions:218 pushes, 48 branches in 8 months
devopsansibleinfrastructurelayer5docker
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