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Samarth KhuranaSK
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Samarth Khurana

@samarthkhurana

Senior Android engineer specializing in Kotlin, Jetpack Compose, and low-latency SystemUI performance at scale.

India
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What I'm looking for

I want to build high-impact Android systems where I can own architecture end to end, deliver measurable performance wins, and ship reliable releases with strong unit testing and CI. I’m especially excited by Kotlin/Compose and on-device AI features.

I’m a Senior Android engineer focused on shipping native SystemUI capabilities that perform reliably at scale. I own technical architecture decisions end to end—from design through production—so the product stays fast, stable, and maintainable.

In my current role, I rebuilt Samsung’s Android Transition framework inside SystemUI to improve UI transition latency by 25–30%, while keeping crash rates below 2%. I also built the on-device LLM integration layer for a search engine, owning query routing to a fine-tuned Gemma 4B decoder and its JSON query-plan schema across multiple first-party clients.

I’ve migrated on-device inference from CPU to GPU by compacting queries and using constrained decoding to guarantee valid JSON, cutting per-query latency to 10 seconds. Throughout integration, I filed upstream GitHub issues to help improve the ecosystem alongside delivering features for real users.

Earlier, I owned the end-to-end architecture of an Android widget-placement feature (hybrid CNN + heuristic) shipped as a sub-3MB shared library, reaching 90% unit-test coverage and production readiness. I’ve also designed low-latency real-time visual processing using C++ and OpenCV, and I bring a disciplined testing and CI/CD mindset (including GitHub Actions and QuickBuild) to every release.

Experience

Work history, roles, and key accomplishments

SB
Current

Senior Software Engineer

Samsung Research Institute Of Bangalore

Jan 2025 - Present (1 year 6 months)

Developed and enhanced Samsung’s Nowbar feature within SystemUI by rebuilding the Android Transition framework and improving UI transition latency by 25–30%. Owns end-to-end technical architecture for on-device LLM integration, including query routing to a fine-tuned Gemma 4B decoder and constrained-decoding JSON query plans.

SB

Software Engineer

Samsung Research Institute Of Bangalore

Aug 2024 - Jan 2025 (5 months)

Owned end-to-end architecture of StyleSuggest, an Android widget-placement feature (hybrid CNN + heuristic) shipped as a sub-3MB shared library with 90% unit-test coverage. Designed and optimized a low-latency C++ saliency detection algorithm using OpenCV for real-time on-device visual processing.

SB

Software Engineer Intern

Samsung Research Institute Of Bangalore

Jun 2023 - Aug 2023 (2 months)

Researched CNNs and RNNs and developed a binary classifier using TensorFlow and Keras, achieving an AUC of 0.92.

Education

Degrees, certifications, and relevant coursework

Delhi Technological University (Formerly DCE) logoDD

Delhi Technological University (Formerly DCE)

Bachelor of Technology, Computer Science

2020 - 2024

Grade: CGPA: 8.87/10.00

Bachelor of Technology in Computer Science at Delhi Technological University (formerly DCE) from 2020 to 2024, completing with a CGPA of 8.87/10.00.

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