Samarth Khurana
@samarthkhurana
Senior Android engineer specializing in Kotlin, Jetpack Compose, and low-latency SystemUI performance at scale.
What I'm looking for
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
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.
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.
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)
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.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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