Hello! 👋

I'm Samanyu A Saji

R&D Engineer, Android

About Me

Android Engineer with 3+ years of experience building large-scale native Android systems and user-facing features for flagship Samsung devices. Experienced in Kotlin and Java with strong expertise in Android frameworks, SystemUI, Jetpack components, and modern architectural patterns including MVVM and MVC. Currently working at Samsung Research as an R&D Engineer, contributing to core platform development across SystemUI, Android XR, Samsung DeX, and AI-powered NowBrief. Proven experience in designing modular architectures, implementing Runtime Resource Overlays, building notification systems, and optimizing UI performance for low-latency and memory efficiency. Strong understanding of Android internals, lifecycle management, multithreading with coroutines, and system-level feature integration. Comfortable working in large codebases, collaborating cross-functionally with global teams, and owning features end-to-end from design to production.

Kotlin Java Android Jetpack Compose C++ Python

Projects

01

Android Starters

A growing, curated collection of beginner-friendly Android projects designed to help developers learn modern Android development by exploring simple real-world examples.

KotlinJetpack ComposeAuthNavigationDBWorkManagerRetrofit
02

Resource Optimization Engine for KSRTC using Machine Learning

An app-driven model for KSRTC that integrates real-time bus tracking and seat booking with machine learning to predict passenger patterns, optimize fuel consumption, and increase profitability.

FlutterWebSockets
03

KSRTC App Backend

The model backend framework for the above mentioned KSRTC app-driven model.

Node.jsSequelizeExpressJSMachine Learning
04

Karma

An Information Management Framework for colleges, delivering a RESTful API service to centralize educational data and enhance institutional efficiency.

Node.jsSequelizeMocha-Chai
05

VANETs IITJ

Created, organized and maintained the official website of Vehicular Adhoc Networks Lab (VANETs), IIT Jodhpur.

HTMLCSSjavascriptPHP

Experience

R&D Engineer, Android

Samsung Research Institute, Noida

Jauly 2022 - Present
  • Collaborated with Google and Samsung HQ in defining the SystemUI framework for Android XR, OneUI.
  • Led the end-to-end implementation of the Notifications and App notification settings for Android XR
  • Built NowBrief Widget settings and the Jetpack Compose migration of Ui elements
  • PoC for Classic DeX taskbar features used across flagship Samsung devices globally

Teaching Assistant

Indian Institute of Technology, Jodhpur

September 2020 - March 2022
  • Courses: Introduction to Computer Science, Machine Learning
  • Led lab sessions, created assignments, and evaluated student submissions.

Webmaster

Indian Institute of Technology, Jodhpur

Aug 2021 - May 2022
  • Created and maintained official IITJ student chapter website
  • Modeled and built the website for vehicular networks research lab in IITJ

Summer Intern

QuEST Global, Technopark, Trivandrum

July 2019 - August 2019
  • Set up a machine learning project for autonomously tagging stack-overflow questions

Software Intern

Central Computing Facility, College of Engineering

June 2018 - August 2018
  • Improved CampusSoft, the software that manages the day to day activities of the CET
  • Worked on the front end of college website using React javascript library

Publications

CuraFrame: a patient-centric secure and privacy preserving medical framework with zero-leak using blockchain

Springer Nature / Peer-to-Peer Networking and Applications • 2025

Proposes Curaframe, a secure record-keeping framework specifically crafted for Electronic Health Records (EHRs). A consensus algorithm, GNG-dBFT, was proposed with a 9% lower consensus delay and 19% throughput increase compared to the state-of-the-art schemes. Also introduced a new lightweight authentication mechanism using zero-knowledge proof to ensure privacy-preserving access control

BlockchainEHRSecurity

Fast Implementation of AES Modes Based on Turing Architecture

Springer Nature / Advancements in Interdisciplinary Research • 2022

Evaluates the performance of AES encryption modes (ECB, CBC, CTR) across NVIDIA’s Turing and Pascal GPU architectures, demonstrating that parallelizable modes on Turing-based hardware, such as the GTX 1650, significantly maximize cryptographic throughput.

AESCryptographyGPU

Education

Master of Technology (M.Tech) in Computer Science

Indian Institute of Technology, Jodhpur

2020 - 2022
  • Graduated with 8.05 GPA
  • Majored in security, privacy preservation and blockchain
  • First Runner Up: IS3, IIT Jodhpur's ACM Student Chapter Ideathon, 2022

Bachelor of Technology (B.Tech) in Computer Science

College of Engineering, Trivandrum

2016 - 2020
  • Graduated with 9.05 GPA
  • Collaboration with KSRTC aimed at improving resource allocation of public transport