Develop native Android applications using Kotlin and Jetpack
New to Contra
Develop native Android applications using Kotlin and Jetpack
Improve your existing Android application with reliable bug fixes, performance optimization, and seamless feature integration. I help businesses and developers maintain, upgrade, and scale their Android apps using modern development practices and clean, maintainable code.
Services
🐞 Bug Fixing
Crash and ANR resolution
UI/UX issue fixes
Memory leak detection
Performance optimization
App stability improvements
Build and dependency issue fixes
🚀 Feature Development
Add new screens and functionality
Firebase integration
REST API integration
Push notifications
Authentication (Email, Google, Phone)
Payment gateway integration
AI features (ChatGPT & Gemini)
Camera, Maps, Location, and File Management
Dark Mode support
Offline functionality
⚙️ Code Improvements
Refactor legacy code
MVVM architecture implementation
Jetpack Compose migration
XML UI enhancements
Room Database optimization
Dependency updates
Code cleanup and documentation
Technologies
Kotlin
Java
Jetpack Compose
Android SDK
MVVM Architecture
Firebase
Room Database
Retrofit
REST APIs
Google Maps
CameraX
Google ML Kit
OpenAI & Gemini APIs
What You Can Expect
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DocuMind AI is a modern Android application that transforms physical documents and PDFs into editable, searchable, and AI-powered insights. Built with Kotlin and Jetpack Compose, the app combines on-device OCR with AI summarization to help users digitize and understand documents in seconds.
Features
📄 Smart Document Scanning
Real-time document detection
Auto edge detection and perspective correction
Single and multi-page scanning
High-quality document capture
🔍 On-Device OCR
Fast and accurate text extraction
Works offline using Google ML Kit
Copy, edit, and save extracted text
Supports printed documents with excellent accuracy
🤖 AI Document Summarization
Generate concise summaries from lengthy documents
Extract key information instantly
Reduce reading time while preserving important details
Powered by modern Large Language Models (LLMs)
📁 Document Management
Save scanned documents locally
View scan history
Share extracted text and AI summaries
Clean and intuitive document organization
Tech Stack
Kotlin
Jetpack Compose
MVVM Architecture
Google ML Kit OCR
Gemini / OpenAI API
Android CameraX
Room Database
Material Design 3
Coroutines & Flow
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Build intelligent Android applications with the latest AI technologies using Kotlin and Jetpack Compose. I develop modern, scalable, and high-performance Android apps that integrate advanced AI capabilities to deliver smarter user experiences.
What I can build
🤖 ChatGPT & Gemini AI integration
🧠 AI Chatbots and Virtual Assistants
📄 OCR (Optical Character Recognition)
📷 Image & Text Recognition using Google ML Kit
🔥 Firebase Authentication, Firestore & Cloud Functions
🌐 REST API integration
⚡ Clean MVVM architecture
🎨 Modern Jetpack Compose UI
🚀 Performance optimization and bug fixing
Technologies
Kotlin
Jetpack Compose
Android SDK
Firebase
Google ML Kit
OpenAI API (ChatGPT)
Google Gemini API
REST APIs
MVVM Architecture
Why work with me?
Clean, maintainable, and scalable code
Responsive and modern UI/UX
Efficient API integration
Performance-focused development
Clear communication and timely delivery
Ongoing support after project completion
Whether you need an AI assistant, document scanner, OCR solution, chatbot, or a custom AI-powered Android application, I can help turn your idea into a polished, production-ready app.
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I develop clean, maintainable applications following MVVM and Clean Architecture, ensuring every project is easy to scale, optimize, and maintain. Whether you need a brand-new Android application, feature development, bug fixing, Firebase integration, or AI-powered functionality, I can help deliver reliable, production-ready solutions.
I designed and built this app end to end as a native Android product. It’s offline-first, so every feature works without a connection, and the balance always stays accurate even after edits and deletions. Users can log income and expenses, organize them with default and custom categories, and find anything quickly with date-range filters and search. Behind the clean UI is a tested architecture (Kotlin, Jetpack Compose, Room, Hilt, MVVM), with unit and instrumented tests covering the data layer and view models.
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Network Observer: Air-Gapped Enterprise LAN Telemetry & Topology Engine
Executive Summary
Network Observer is a self-hosted, sovereign network telemetry and topology visualization suite engineered for air-gapped university campus labs and secure enterprise subnets. Designed from the ground up for zero external cloud dependencies, it delivers real-time device health monitoring, automated subnet discovery, hierarchical computer lab grouping, and interactive DAG network graphs with an ultra-lean memory footprint (< 500 MB RAM).
The Challenge
Educational institutions and secure facilities manage hundreds of lab machines, routers, and managed switches distributed across segmented VLANs. Existing solutions were either:
Cloud-Tethered SaaS: Violating data residency constraints and failing entirely in air-gapped environments.
Resource-Heavy Legacy Tools: Bloated platforms consuming tens of gigabytes of RAM with outdated, clunky interfaces.
Disconnected Tooling: Requiring separate software for ping sweeps, topology mapping, and asset inventory.
The goal was to build a modern, unified, tactical NOC command center that operates entirely offline, boots in seconds, and handles live telemetry without straining hardware.
Engineering & Architectural Philosophy
As the Lead Architect, I directed the end-to-end technical requirements, database schemas, API contracts, and UX patterns, leveraging state-of-the-art AI pair-programming workflows to rapidly execute and harden production code across the full stack.
Strict 4-Tier Clean Architecture: Domain, Application, Infrastructure, and Presentation layers ensuring complete testability and separation of concerns.
Zero Raw SQL Overhead: Strongly-typed EF Core 10 LINQ queries coupled with a relational PostgreSQL 18 backend running sub-millisecond query execution.
Deterministic Resource Budgeting: Engineered with an explicit ceiling under 500 MB RAM across both Kestrel backend and the frontend runtime.
Comprehensive Automated Verification: 151 automated integration and unit tests covering domain invariant rules, ICMP probes, and RBAC authentication.
Key Features & Innovations
1. Interactive Cytoscape.js Topology Canvas
Real-time network mapping with dynamic layout toggling: Lab Hierarchies (Core Router → Aggregate Switch → Computer Lab Groups → Workstations) or Pure Device-to-Device.
High-performance SVG nodes styled with tactical cyber-optic color palettes, transparent glyph backgrounds, and auto-wrapping status badges.
Hardware-accelerated cursor-anchored smooth zooming and collision-avoidance Dagre layouting.
2. Live Telemetry & Slide-Over Inspector Drawer
Background non-blocking worker threads conducting periodic ICMP/SNMP telemetry sweeps every 5 seconds.
Instant slide-over inspection drawer displaying live CPU/RAM utilization metrics, uptime gauges, IP/MAC bindings, and vendor footprints.
Route-aware state management that collapses drawers seamlessly upon switching views.
3. Subnet Sweep Discovery & Staging Pipeline
Parallelized CIDR sweep engine (e.g., 192.168.1.0/24) capable of identifying active hosts and resolving MAC/vendor footprints in seconds.
One-click staging pipeline allowing discovered network hosts to be audited and promoted directly into production inventory.
4. Role-Based Governance & Audit Trail
Air-gapped JWT token authentication paired with cryptographically secure PBKDF2 passphrase hashing.
Immutable append-only audit trail logging every device provisioning, IP reassignment, and status mutation.
Technology Stack
Backend: C# .NET 10 Kestrel Web API, Entity Framework Core 10
Database: PostgreSQL 18 with relational integrity constraints & indexing
Frontend: Vue 3 (Composition API), TypeScript, Vite, Pinia Store
Canvas Visualization: Cytoscape.js with Dagre Hierarchical Layout Engine
Styling: Tailwind CSS, Lucide Icons, Custom Tactical NOC Theme
DevOps & Quality: GitHub Actions CI/CD Pipeline, xUnit, FluentAssertions (151 passing tests)
Key Metrics & Results
100% Air-Gapped Sovereign: Zero external telemetry pings or telemetry leakage.
< 500 MB Total Memory Ceiling: Runs seamlessly on resource-constrained campus edge servers.
151/151 Test Coverage: Zero test regressions with automated GitHub Actions verification.
Sub-Millisecond Queries: Fast relational indexing across hundreds of concurrent lab nodes.
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About a year ago, I published my Python package, collapsiblepane, on PyPI.
Today, it has crossed 7,000+ downloads!
It's a great feeling to see a small project I built reach other developers and get used over time. Moments like these remind me that even a small contribution can have an impact when you put your work out there.
Thank you to everyone who has installed or tried the package. I truly appreciate it!
Looking forward to building and sharing more useful tools with the developer community.
Check out the package: https://pypi.org/project/collapsiblepane/
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Designed and developed Well Lift, an Android fitness app for tracking calories, workouts, and weight. It features a guided onboarding flow, a daily nutrition dashboard with macro charts, an exercise library with calorie-burn calculation, a calendar for workout planning, and progress statistics, all wrapped in a clean, user-friendly interface.
Backend & AI engineer who ships systems fast and scale.
Backend & AI engineer who ships systems fast and scale.
This is a native Android app I built with Kotlin and Firebase. It connects tourists with verified local guides in real time. You open the app, see nearby guides, book a tour, and then you can track each other’s location live using Google Maps. I also added offline support because travel doesn’t always have perfect internet. Over 100 active users ended up using it,during the MVP. The best part? Battery usage was optimized so your phone doesn’t die halfway through the day. Really proud of how smooth it turned out.
For more details, please visit: https://arham-nexus.vercel.app/work/raaheraast
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This is a classic enterprise academic portal, but built solid. It uses Web Forms, ASP.NET, C#, and SQL Server. The main challenge was role based access control because you have admins, faculty, TAs, and lab demonstrators all needing different permissions. I designed a three tier architecture with stored procedures and optimistic concurrency control so data doesn’t get messed up when people edit at the same time. Over 200 users per semester use it for task assignments and progress tracking. It’s not flashy, but it works perfectly.
For more details, please visit: https://arham-nexus.vercel.app/work/talabportal
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Skill Swap is a peer to peer learning platform where you can be both a student and a teacher. I built the backend with Java Spring Boot, real time chat with WebSockets, and video calls with WebRTC. The matching algorithm finds people based on skills, ratings, and availability. You can switch roles anytime. It also has a trust based review system so fake reviews don’t ruin it. This was an MVP, but it proved that real time learning communities can work really well.
For more details, please visit: https://arham-nexus.vercel.app/work/skillswap
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Yeah, this one is a bit out there, but it was super fun. I built an AI that actually understands memes. It looks at the image and the text together using PyTorch, TensorFlow, and GPT 4. I used early and late fusion techniques to combine vision and language, plus Tesseract OCR to grab text from the image itself. The model hits over 95% accuracy on meme classification. It’s not your typical corporate project, but it shows how multimodal AI can understand humor, culture, and context. Definitely one of my favorite experiments.
For more details, please visit: https://arham-nexus.vercel.app/work/memechecker
React Native Developer building modern mobile apps
New to Contra
React Native Developer building modern mobile apps
Aura is a mobile voice assistant designed to let users control and interact with their Android device using voice commands. It focuses on functionality, quick responses, and device-level actions without relying entirely on cloud-based AI services
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PDFMaker is a React Native mobile application for creating professional PDF documents quickly and easily.
Key Features
Convert text into PDF documents
Convert images into PDF files
Simple and clean document creation interface
Text editing and formatting
PDF generation and export
Easy file sharing and management
Optimized for Android
Technology Stack
React Native · JavaScript · Android · PDF Generation · File Management
My Role
I designed and developed the application from scratch, including the UI, PDF generation workflow, file handling, and Android deployment.
Project Type: Mobile App
Platform: Android
Status: Published / Deployment Ready
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PlayShot is a mobile app designed to help developers create professional screenshots for their Google Play Store listings. It allows users to add app screenshots, customize layouts, backgrounds, device frames, text, and other visual elements to quickly create polished store assets
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Speakify — English Speaking & Language Exchange App
Speakify is a React Native mobile app designed to help users improve their English through real-time voice conversations. Users can connect with random people, join voice rooms, practice speaking, learn daily vocabulary, and receive pronunciation feedback.
I built the mobile app and backend, including authentication, real-time voice communication, matchmaking, chat, notifications, user profiles, follow/unfollow, reporting and blocking, and learning features. The project also involved deploying the backend with Docker and implementing real-time communication infrastructure.