Headline

SDE Android Intern @FRND | Ex-SDE Android Intern @KukuFM | Skilled in C++, Python, DSA, Kotlin, SQL | IIEST Shibpur’26

About

I am an Android Developer with hands on experience building real world mobile applications using Kotlin, Jetpack Compose, MVVM, Coroutines, Firebase, Retrofit, Room Database, REST APIs, and Clean Architecture. I recently graduated with a B.Tech degree from IIEST Shibpur and have around 6 months of internship experience working on production level Android applications. At FRND, I worked on real time chat features including persistent WebSocket connections, scalable chat pagination, intelligent message batching for LLM optimization, and rich notification systems. This experience helped me understand how to build reliable and scalable Android applications used by a large number of users. At Kuku FM, I worked on accessibility improvements and Android UI development using Jetpack Compose. I contributed to improving TalkBack support, semantics, and focus management to make the app more accessible and user friendly. I also worked on product features while following MVVM and Clean Architecture principles. Along with Android Development, I have a strong foundation in C++, Data Structures and Algorithms, OOPs, Python, and SQL. I also explored Machine Learning and data analysis during my research internship at IIT ISM Dhanbad, where I worked on predicting PM2.5 levels using models like XGBoost and SARIMAX. I enjoy solving problems, learning new technologies, and building products that create real impact for users. Currently open to full time opportunities in Android Development and Software Engineering. 📩 skshubhamkumarsk1213@gmail.com

Location

Bengaluru

AI stack

antigravity

claude code

claude

codex

cursor

gemini

Work experience

Software Engineer Intern - Android at FRND, Mar 2026 - Present · 7 mos, Bengaluru, • Extended an existing foreground only AI chat into an always on background messaging system by introducing an Android Foreground Service that keeps the WebSocket connection alive across all app lifecycle states, enabling reliable real time message delivery even when the app is backgrounded or killed, with rich MessagingStyle notifications, avatar compositing, inline reply via BroadcastReceiver, and notification to chat deep linking • Optimized and scaled the AI conversation flow with an intent aware message batching engine (coroutine based dual timer scheduler) that groups sequential user messages, cutting redundant LLM API calls by∼40% while improving response quality, plus Paging 3 with backend driven pagination for large chat histories, incremental AI response rendering, read receipts, and dynamic date grouping • Built an in-house internal analytics module as a separate Gradle module that batches events instead of firing one API call per event, with a batched upload pipeline to send events to Backend using a Room backed persistent queue + WorkManager periodic worker, cutting analytics network calls by∼95% surviving process death and offline periods • Owned the Jetpack Compose migration of high traffic legacy XML screens including 1 to 1 Host Screen, Profile Screen, Bottom Navigation, SuperFrnd audio call, and video call surfaces, rebuilding them on a unidirectional MVI architecture (state contract, reducer, ViewModel), and reducing recomposition via stable, immutable and derived state to improve frame stability during live gift animations, timers, and speaking indicators • Refactored application state management by transitioning from LiveData to Kotlin Flow and StateFlow, improving reactive programming, lifecycle-aware state management, and UI consistency across the application

Software Engineer Intern - Android at Kuku FM, May 2025 - Jul 2025 · 3 mos, Bengaluru, Karnataka, India, • Native Android Developer • Developed and integrated accessibility features using Jetpack Compose, improving the app’s usability for visually and motor-impaired users • Applied semantic properties, content descriptions, and focus order management to enhance screen reader (TalkBack) compatibility • Designed and developed bottom sheet UIs using Jetpack Compose for Share Screen. Followed MVVM and Clean Architecture to separate UI, ViewModel, and UseCase layers, ensuring maintainable and testable code. • Gained hands-on experience with Jetpack Libraries (Navigation, Lifecycle, Compose), MVVM, Kotlin Coroutines, and Accessibility APIs

Research Intern at Indian Institute of Technology (Indian School of Mines), Dhanbad, Dec 2024 - Jan 2025 · 2 mos, Dhanbad, Jharkhand, India, Collaborated on a research project under the guidance of Prof. Siddhartha Agarwal to predict PM2.5 levels in surface coal mines using machine learning and deep learning models. Analyzing and visualizing air quality data, including pollutant concentrations and meteorological parameters, to uncover trends and patterns for improved environmental monitoring. Implemented time series forecasting models (e.g., LSTM, SARIMAX, XGBoost, Random Forest, FBProphet) for short-term and long-term predictions of PM2.5 levels based on seasonal and hourly data. Developed an interactive app in collaboration with PRANA Air to visualize data trends, including alerts for threshold crossing, daily and weekly comparisons, and enhanced user experience for decision-making. Created seasonal and hourly graphs to provide actionable insights and facilitate informed strategies for minimizing air quality impacts in mining operations.

Amazon ML Summer School at Amazon, Jul 2024 - Jul 2024 · 1 mo, Remote, Gained proficiency in practical data science and machine learning methods such as clustering, supervised learning, etc. from Amazon experts.

Education

Bachelor of Technology - BTech, Indian Institute of Engineering Science and Technology (IIEST), Shibpur