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Software Engineer 2

Location:
Noida, Uttar Pradesh, India
Salary:
4000000
Posted:
April 14, 2026

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Resume:

Aditya Gupta

Software Engineer *

Software Engineer with 4+ years of experience in Android and system- level software development, currently working at Microsoft. Contributed to core multitasking and large-screen experiences at Samsung Electronics. Expertise in building scalable platform features, window management systems, and cross-device experiences. Proven track record of leading complex features from design to production across flagship devices and collaborating with global engineering teams.

************@*****.***

+916*********

Noida, Uttar Pradesh

linkedin.com/in/aditya-gupta-619655172

WORK EXPERIENCE

Software Engineer II

Microsoft

03/2026 - Present, Noida, Uttar Pradesh

Software Engineer

Samsung RnD Institute, Noida

01/2022 - 03/2026, Noida, Uttar Pradesh

Led the technical implementation of the Galaxy S26 Ultra's Privacy Display, achieving zero UI rendering conflicts across 5+ multi-window states, by engineering isolated rendering pipelines for popup windows and bubble chats.

Engineered the "Continue App on Cover Screen"

architecture for the Galaxy Z TriFold, decreasing layout transition latency by 20%, by optimizing configuration handlers for dynamic screen density and multi-window state changes.

Upgraded Samsung DeX functionality for OneUI 8.5

during a 7-week Business Trip to Samsung HQ in Suwon, South Korea, improving multi-monitor rendering

efficiency by 15% by optimizing window management

architectures for extended screen devices.

Led development of the mobile OS framework in Java and Kotlin, contributing 500+ code changes and

optimizing multitasking performance to boost overall system efficiency by 25%.

Engineered concurrent process management modules to support multi-application environments, optimizing thread synchronization for high-load scenarios and reducing operation latency by 45%.

Diagnosed and resolved critical memory leaks and race conditions within the Core Java framework used in

OneUI OS Framework, improving system stability and reducing technical debt by 75%.

PROJECTS

Intelligent Session Management System (formerly

"Multi-Instance Pop-up Container")

(01/2024 - 05/2025)

Designed a state-management system allowing multiple independent application instances to run concurrently with isolated data contexts.

Implemented session persistence logic to ensure exact state restoration across system reboots and workstation transfers. Integrated AI-driven context awareness, allowing frequently used app combinations to be suggested dynamically based on user behavior patterns.

SKILLS

Core Concepts: Data Structures & Algorithms, OOP, System Design, OS Internals (Memory/Process Management).

Databases & Systems: Strong understanding of Operating Systems (Linux, Windows), MySQL, MongoDB, Database Management Systems (DBMS)

Programming Languages: Java (Core, Concurrency, Multi- threading), C++, SQL, Python.

Tools & DevOps: Git, JIRA, Gradle, Linux (Shell Scripting), JUnit (Testing, CMake, Gradle

ACHIEVEMENTS

Employee of the Quarter Award (Q4, 2024)

Awarded for exceptional work among department peers Excellence Award (Q3, 2024)

Recognized for extraordinary contributions

Multiple Milestones

Received SPOT Awards ( Rising Stars, Think Tank ) for exceptional contributions to the OneUI 7.0 Release

SWC Professional Certification (Certified by Samsung) Samsung SW Expert Academy certifies Samsung Software Competency Test (Professional Level): Awarded to top 5% of engineers for advanced algorithm solving.

PUBLICATIONS AND RESEARCH

Blockchain and AI-Powered Authentication for Secure IoT in Healthcare

Developed a blockchain-based AI-driven authentication scheme for implanted medical devices, enhancing security and privacy in healthcare communication networks. Integrated AI-driven anomaly detection systems within smart contract frameworks, enhancing threat detection capabilities for medical IoT applications and achieving a 40% reduction in security incident response time across the network. Applied AI techniques for security analysis, evaluating scalability, resistance to attacks, and adaptive threat mitigation in blockchain-enabled medical device communication.

Excellence Award (Q3 2023): Recognized for extraordinary contributions. Employee of the Quarter Award (Q4 2024, Q3 2025): Awarded for exceptional work among department peers.



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