Android Development (Native) with less than a year in Kotlin & Firebase
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Assessing your cultural and operational fit
Computer Science undergraduate with hands-on experience in Android application development. Android Developer with internship experience building production-grade apps using Kotlin, Jetpack Compose, and Firebase. Delivered a full-stack real-time tournament management app during a rated internship at MindMatrix. Also experienced in deep learning and IoT systems. Seeking Android or full-stack mobile roles where I can contribute from day one.
ACS College of Engineering, Bengaluru
B.E. · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Karnataka Board
Class XII Diploma
June 1, 2021 – May 31, 2023
Karnataka Board
Class X
June 1, 2018 – May 31, 2020
MindMatrix (C L Infotech Pvt. Ltd.)
Android App Developer Intern
February 1, 2026 – April 30, 2026
Bengaluru, Karnataka, India
Grama-Kalyana Sports — Real-Time Village Sports Tournament Management App
February 1, 2026 – April 30, 2026
Developed a full-stack Android application using Kotlin and Jetpack Compose for real-time digital scoreboard management of village-level sports tournaments (Volleyball, Kabaddi, Cricket). Implemented Firebase Realtime Database syncing live scores across 3 concurrent sports events with under 2s latency, eliminating all manual paper-based scoring. Built role-based access control for 3 user roles (Organizer, Scorer, Fan) using Firebase Authentication, securing data access across all app modules. Applied MVVM architecture (Fragment → ViewModel → Repository → Firebase) for clean, maintainable code structure. Added offline support using Room DB with sync queuing; integrated Canvas API for scorecard generation and WhatsApp sharing. Configured build.gradle.kts, AndroidManifest.xml, and dependency injection for a production-ready app.
Advanced Genome Disorder Prediction with Deep Learning
August 1, 2025 – November 30, 2025
Built a deep learning model to process DNA sequence data and identify patterns associated with genetic disorders. Applied neural network architectures for multi-class classification of genomic data.
IoT-Based LPG Gas Leakage Detection System
July 1, 2024 – November 30, 2024
Developed an IoT-based gas detection system with digital display and real-time alert notifications upon gas leakage detection.
BULLYNET - Cyberbullying Detection System
May 1, 2023 – July 31, 2023
Built BULLYNET, a cyberbullying detection system that classifies social media posts using pattern analysis, achieving 85% detection accuracy on test data. Designed to flag malicious accounts in real time. Detected malicious and unwanted users using pattern analysis and cybersecurity techniques.
Programming in Java
NPTEL
July 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a diverse interest in technology beyond core mobile development, including AI/ML and IoT. This breadth of interest suggests a curious and adaptable individual. The professional project, 'Grama-Kalyana Sports', shows a practical application of skills to solve a real-world problem, indicating a results-oriented mindset. The target role is Android Development (Native), and the candidate's primary professional experience and skills align well, suggesting a good cultural fit for a team focused on native mobile development.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-faceted problems (e.g., real-time data syncing, role-based access control, offline support). The 'Very Good' rating from the internship suggests a positive work attitude and ability to deliver. The diversity of academic projects (Deep Learning, IoT, Cyberbullying) shows a broad interest in technology, which can be beneficial for problem-solving and adaptability.