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Vansh NarangVN
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Vansh Narang

@vanshnarang

Software Development Engineer at Samsung R&D building AI categorization and One UI features shipped to millions.

India
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At Samsung Research and Development, I designed an NLP-based app categorization system using BERT and transformer models, improving classification accuracy by 10–15%. I also built data preprocessing and model evaluation workflows for application datasets.

For One UI, I ported the Brightness Bar into the redesigned Quick Settings Panel and reimplemented it using Jetpack Compose. I collaborated with Google and Samsung HQ on the Mobile Data Tile, which shipped in production firmware to millions of Galaxy devices.

As a Software Development Engineer Intern at Samsung Research and Development, I developed a GAN-based dynamic wallpaper engine and optimized its on-device inference. I’ve also built RAG knowledge assistant projects, and filed three patents in India spanning on-device AI, display power optimization, and multimedia signal processing.

Experience

Work history, roles, and key accomplishments

Samsung Research and Development logoSD
Current

Software Development Engineer

Jan 2024 - Present (2 years 9 months)

Designed and implemented an NLP-based application categorization system using BERT and transformer models, improving classification accuracy by 10-15%. Ported and integrated the Brightness Bar UI into the Quick Settings Panel for One UI 8.0.x and reimplemented it using Jetpack Compose for One UI 8.5.x.

Samsung Research and Development logoSD

Software Development Engineer Intern

Jan 2023 - Dec 2023 (11 months)

Developed a GAN-based dynamic wallpaper engine generating adaptive visuals based on real-time environmental conditions. Designed end-to-end model training pipelines and optimized inference for real-time on-device image generation under tight memory and compute constraints.

Education

Degrees, certifications, and relevant coursework

JY

J.C. Bose University of Science and Technology, YMCA

Bachelor of Technology, Electronics and Communication Engineering

Grade: 8.7/10

Graduated with a Bachelor of Technology in Electronics and Communication Engineering, achieving a CGPA of 8.7/10.

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