Help & Supportcareers@gravityer.com
Mobile Engineer with 4+ years in Kotlin, Jetpack Compose & KMP
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior Android Developer with 4+ years of experience building scalable, secure, and high-performance mobile applications using Kotlin, Jetpack Compose, and Kotlin Multiplatform (KMP). Experienced in developing cross-platform solutions with shared business logic for Android and iOS, implementing offline-first architectures, and integrating REST APIs. Proven expertise in IoT-enabled applications using MQTT for real-time device communication, telemetry monitoring, and remote command execution. Strong background in MVVM, Clean Architecture, RFID integration, document scanning, performance optimization, and delivering production-ready enterprise applications.
Guru Gobind Singh Indraprastha University (GGSIPU)
Master of Computer Applications (MCA) · Computer Applications
August 1, 2020 – June 30, 2022
Guru Gobind Singh Indraprastha University (GGSIPU)
Bachelor of Computer Applications (BCA) · Computer Applications
August 1, 2017 – June 30, 2020
Kinexa
Senior Android Developer
February 1, 2026 – Present
Gurgaon, Haryana, India
One BCG
Software Engineer (Android)
February 1, 2022 – December 31, 2025
Delhi, Delhi, India
Kinexa Fleet
June 17, 2026 – Present
Developed a cross-platform fleet management application using Kotlin Multiplatform (KMP), enabling shared business logic across Android and iOS platforms. Designed and implemented reusable KMP modules for networking, data storage, domain logic, and API integrations, reducing platform-specific development effort. Integrated MQTT-based communication for real-time vehicle tracking, device monitoring, telemetry data processing, and remote command execution. Built offline-first capabilities using local caching and synchronization mechanisms to ensure seamless operation in low-connectivity environments. Collaborated with backend and IoT teams to deliver scalable, secure, and high-performance fleet management solutions.
Kinexa Driver
June 17, 2026 – Present
Developed an IoT-enabled driver application using Kotlin and Jetpack Compose for real-time vehicle and trip management operations. Integrated MQTT protocol for real-time communication between mobile applications and IoT devices, enabling instant telemetry updates and remote command execution. Implemented device provisioning, connection management, status monitoring, and event-driven communication workflows for connected vehicle ecosystems. Built modern, responsive, and reusable UI components using Jetpack Compose following MVVM and Clean Architecture principles. Integrated REST APIs for driver onboarding, trip management, authentication, notifications, and operational workflows. Implemented offline-first functionality using local data persistence, caching, and background synchronization to ensure reliability in low-network environments. Optimized application performance, MQTT message handling, and battery consumption for continuous real-time operations. Collaborated with IoT, backend, and product teams to deliver scalable and secure connected mobility solutions.
RecoverChargeback - Fraud Prevention & ID Verification App
June 17, 2026 – Present
Developed an Android application to prevent fraudulent transactions by capturing and verifying government-issued identity documents. Implemented Driving License, Credit Card, and Passport scanning modules with OCR and barcode extraction. Built a custom document capture camera using CameraX to ensure high-quality image acquisition. Implemented offline-first data storage using Room Database with automatic synchronization when connectivity is restored. Integrated secure passport scanning and cryptographic processing using SpongyCastle.
DMETrack - Hospital Inventory & Asset Tracking System
June 17, 2026 – Present
Built an Android application for tracking and managing hospital medical equipment and inventory. Implemented geofencing and Google Maps integration for real-time asset location monitoring. Designed an offline-first architecture with Room Database and seamless backend synchronization. Integrated Firebase Cloud Messaging (FCM) to deliver real-time alerts and status updates. Added biometric authentication to secure RFID scanning operations.
Cultural Fit Analysis
The candidate's project portfolio demonstrates a strong focus on enterprise-grade applications, particularly in fleet management, fraud prevention, and asset tracking, which often involve complex business logic and high reliability requirements. This aligns well with roles requiring robust, scalable, and secure mobile solutions. The use of cutting-edge technologies like KMP and Jetpack Compose, combined with experience in IoT and AI-assisted development, indicates a proactive and adaptable mindset. The breadth of skills and diverse project types suggest a candidate who can contribute across various technical challenges and adapt to different team needs.
Soft Skills & Operational Fit
The candidate's project descriptions and experience highlight collaboration with cross-functional teams (backend, IoT, product, QA) and adherence to Agile/Scrum methodologies, indicating good operational fit. The detailed descriptions suggest strong problem-solving and analytical skills, particularly in complex real-time and offline environments. The emphasis on 'leading' and 'designing' in their current role points to leadership potential and architectural thinking.