Sumit Kumar Ray | Android Developer

Hi, I'm Sumit Ray.

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Self-driven, quick starter, passionate programmer with a curious mind who enjoys solving a complex and challenging real-world problems.

About

A Software Engineer currently working with Elements91 as an Android Developer. A passionate programmer and a team player with experience in writing test cases and performing unit tests for the software. An effective communicator who can work well with team members of different backgrounds to get work done on time. Proficient in Kotlin, Java, C and C++ and developing Android based apps. I have previously worked on designing mobile applications, web-based platforms.

Languages: Kotlin, Java, C, C++, Python, HTML/CSS
Architecture: Clean Architecture, MVVM, MVP and MVC
Libraries: Retrofit, Co-routines, Material Design, Firebase, Glide, Timber, LeakCanary, Exoplayer
Jetpack Components: Jetpack Compose, Navigation Components, Room Database, Dagger-HIlt, WorkManager, Paging 3, Data Binding, CameraX
Tools & Technologies: Git, AWS, Figma, JIRA

Looking for an opportunity to work in a challenging position combining my skills in Software Engineering, which provides professional development, interesting experiences and personal growth.

Experience

Persistent Systems

Senior Software Engineer

Project: Wells Fargo Mobile Banking — Domain: BFSI

Developed and maintained core Account features of the Wells Fargo Native Android app, including Mobile Deposit, CD Maturity, Direct Deposit, and Card Activation flows.
Improved Direct Deposit flow stability by 11% by eliminating memory leaks across multiple screens using Android Studio Profiler, reducing crash-prone scenarios and improving runtime performance.
Implemented Card Activation workflows, enabling secure in-app card lifecycle management.
Delivered LifeSync native features for financial goal creation, progress tracking, and personalized insights within the mobile banking app.
Collaborated with backend and platform teams to integrate secure BFSI-compliant APIs, leveraging Kotlin and Android Jetpack (MVVM) for maintainable architecture.
Tools: Kotlin, Android Jetpack, MVVM, Android Studio Profiler, REST APIs

June 2025 - Present | Bengaluru, India

Elements91 Pvt Ltd

Android Developer

Developed and maintained MDM and system applications for OS91, a custom AOSP-based Android operating system.
Leveraged advanced Android APIs including WorkManager, JobScheduler, Location APIs, and Device Admin APIs to optimize system-level tasks, reducing operational latency by 30%.
Improved app performance and scalability using Kotlin Coroutines, Flow, and Hilt DI.
Wrote comprehensive instrumentation and UI tests using Espresso and JUnit, achieving 80%+ code coverage.
Tools: Kotlin, Jetpack Compose, WorkManager, JobScheduler, Device Admin APIs, Espresso, JUnit

March 2024 - June 2025 | Bengaluru, India

Diftree Realty Pvt Ltd

Android Developer

Developed and migrated the Differhome Android app from Java to Kotlin, implementing MVVM architecture and Material Design UI.
Integrated Retrofit for API communication and Firebase Authentication for secure user access.
Improved the response time by 20% by refactoring the codebase and changing database design and queries.
Collaborated with cross-functional teams using Agile Scrum methodologies for timely feature delivery.
Tools: Kotlin, Jetapck Compose, Navigation Component, Retrofit, Firebase, Room Database

Sept 2022 - March 2024 | Jaipur, Rajasthan

Innovsource Pvt Ltd

Software Engineer

Worked for CRIS (Centre for Railway Information Systems) to develop and maintain the Control Office Application for train tracking.
Contributed to the Railway Employee Self Service (RESS) Mobile App by developing an employee dashboard UI with real-time data visualization.
Implemented the Loan Details Module to facilitate seamless access and management of employee loan information.

Aug 2019 - Sept 2022

Sysnet Global Technologies Pvt Ltd

Software Engineer

Handled network maintenance and upgrades to ensure optimal performance and reliability.

Jan 2019 - Aug 2019

Projects

                
Video Player
                  A video player app that effortlessly handles playback from device storage, video URLs, and YouTube
                  links.
                
AccomplishmentsEnhanced user engagement with a seamless multimedia experience.
Built using Kotlin, Jetpack, Exoplayer, and Retrofit.

FlexiNotes
                  A simple note-taking app built with MVVM, Hilt DI, Coroutines, and Retrofit for a seamless experience.
                
AccomplishmentsDesigned for efficient note management and quick access.
Emphasizes clean architecture and user-friendly design.

Blog Web-App
                  A simple and extensible blog web-app based on Flask.
                
AccomplishmentsTools: HTML, CSS, Bootstrap, Flask, SQLAlchemy, Postgresql, Python
Users can view posts and contact the admin via Contact Page.
Admin can Add, Delete, Update posts.

Visual Question Answering
                  An attention-based classification model that aims at generating an answer for a given input image.
                
AccomplishmentsIncorporated Convolution Neural Networks (CNN) for extracting image features and Long Short Term
                    Memory for extracting question
                    embeddings.
Tested the model on the COCO dataset, abstract scenes images, and got 69% overall accuracy on the
                    VQA evaluation metric.

Video Summarizer
                  A Seq2Seq model that generates a short summary of the given input video.
                
AccomplishmentsIncorporated CNN to detect and classify objects in the video frames and Long Short Term Memory for
                    generating a summary.
Evaluated the model on MSVD (Microsoft Video Description Corpus) dataset; achieved 0.77, 0.71,
                    0.52 scores respectively on ROGUE,
                    BLEU, METEOR evaluation metrics.

Image Generator
                  An image generator based on the concept of adversarial networks (GANs)
                
AccomplishmentsDeveloped system was tested on a human-face database and loss was calculated by comparing the PCAs
                    of generated and original image.
Calculated difference in PCA was less than 10%, depicting the successful generation of an image by
                    the generator.

Head Counting System
                  A system that calculates the attendance of the class from a panoramic image of a live classroom.
                
AccomplishmentsUsed Singular Value Decomposition for image compression; applied various image processing
                    techniques and morphological operations to
                    detect the number of heads.