Offline > Online
Network failures shouldn't stop user productivity
React
TS
Node
Next
Building in production
I Build Production-Ready Mobile & Web Apps
3+ years experience•Lead Mobile & Full-Stack EngineerOpen to Remote / Global(UTC+5:30, flexible)
I turn complex ideas into reliable, production-ready applications — from architecture and development to App Store & Play Store releases.
React NativeNext.jsTypeScriptOffline-firstAI-powered
10K+Users
3Production Apps
100K+Lines of Code
About Me
Meet the Engineer
Lead Mobile & Full-Stack Engineer with 3+ years of experience building and shipping production applications across Web, iOS, and Android.
I care deeply about clean architecture, offline-first experiences, and security by default.
Arup Biswas
Lead Mobile & Full-Stack Engineer
Available for opportunities
Production-Ready
Remote-First
terminal — zsh
Let's Build Something Amazing
→
Products I've Shipped to Real Users
Production-grade applications used by thousands, deployed across Web, iOS, and Android
Thatha Business Development LLP (Quokka for Good LLC, USA)
Lead Mobile Application Developer & Full-Stack Engineer (Remote)
Inbo — Newsletter & Content Platform
Production-grade newsletter and content-reading platform helping users discover, read, and manage newsletters across Web, iOS, and Android with offline access and analytics-driven insights.
✓ 100K+ LOC codebase✓ Expo → RN CLI migration✓ Offline-first architecture
Tech Stack
React NativeRN CLI (New Arch)Next.jsTypeScriptRedux ToolkitFirebase
🎯 Value Delivered
- ✓Reduced app crash rate to <0.1% with comprehensive error handling
- ✓Built offline-first system enabling reading without internet
- ✓Shipped to App Store & Play Store with zero rejections
Inbo Web 2.0 — Newsletter discovery and reading dashboard
Academic Project
ML Engineer & Mobile Developer
FarmAid — AI Disease Recognition
AI-powered mobile application for detecting crop and livestock diseases using image-based machine learning with ~96% accuracy for crops and ~80% for livestock.
✓ 96% crop accuracy✓ 8MB optimized model✓ Offline ML inference
Tech Stack
FlutterTensorFlowPythonFlaskREST APIs
🎯 Value Delivered
- ✓Optimized ML model from 150MB to 8MB for mobile deployment
- ✓Achieved sub-2-second inference on mid-range devices
- ✓Built for areas with poor connectivity (offline mode)
FarmAid mobile app — AI-powered crop disease detection
Tech Stack
Technologies I Master & Love
Building amazing experiences with cutting-edge tools and frameworks
Frontend Development
Creating stunning, responsive user interfaces
React
UI Library
Proficiency95%
Next.js
React Framework
Proficiency90%
TypeScript
Type Safety
Proficiency88%
Tailwind
CSS Framework
Proficiency92%
Backend & APIs
Building scalable server-side solutions
Node.js
Runtime
Proficiency85%
Python
Programming Language
Proficiency90%
Django
Web Framework
Proficiency80%
PostgreSQL
Database
Proficiency82%
Mobile Development
Cross-platform mobile applications
React Native
Cross Platform
Proficiency87%
Expo
Development Platform
Proficiency85%
DevOps & Cloud
Deployment and infrastructure management
Docker
Containerization
Proficiency75%
AWS
Cloud Services
Proficiency78%
Git
Version Control
Proficiency95%
IoT & Hardware
Internet of Things and embedded systems
Arduino
Microcontroller
Proficiency85%
Raspberry Pi
Single Board Computer
Proficiency80%
Let's Build Something Amazing Together
Deep Dive: Case Studies
The challenges, solutions, and learnings from shipping real products
❌ Problem
Email newsletters are cluttered, hard to read on mobile, and lack offline access. Users needed a distraction-free reading experience with powerful organization.
✅ Solution
Built a production-grade platform with offline-first architecture, cross-platform sync, and analytics-driven insights.
🔧 What I Owned
- End-to-end mobile architecture (100K+ LOC codebase)
- Migration from Expo CLI to React Native CLI (New Architecture)
- Offline-first system with intelligent background sync
- Secure authentication (Google OAuth + Email OTP + JWT)
- Firebase Analytics & Mixpanel integration (GDPR-compliant)
- Push notifications with deep linking (FCM)
- App Store & Play Store deployment & maintenance
- Next.js web platform (built independently)
⚡ Engineering Highlights
Reduced app crash rate to <0.1% through comprehensive error boundaries
Achieved 60 FPS scroll performance with FlashList virtualization
Implemented intelligent caching reducing API calls by 80%
Built modular feature-based architecture for team scalability
💡 Key Learnings
"Offline-first isn't optional—it's the foundation of great UX"
"Performance monitoring from day one prevents technical debt"
"User analytics drive better product decisions than assumptions"
❌ Problem
Farmers lose billions annually to crop diseases due to late detection. Traditional diagnosis requires expert consultation, which is expensive and slow.
✅ Solution
ML-powered mobile app that identifies diseases from photos instantly, providing actionable treatment recommendations.
🔧 What I Owned
- Complete Flutter app development
- TensorFlow model integration (96% accuracy for crops, 80% for livestock)
- Python Flask backend for model inference
- Image preprocessing pipeline
- Firebase real-time database integration
⚡ Engineering Highlights
Trained custom CNN models on 20K+ agricultural images
Optimized model size from 150MB to 8MB for mobile deployment
Built offline mode for areas with poor connectivity
Achieved sub-2-second inference time on mid-range devices
💡 Key Learnings
"Model accuracy means nothing without deployment practicality"
"Offline ML requires aggressive optimization"
"User feedback loops improve models faster than more training data"
How I Think as an Engineer
Principles that guide every line of code I write
Security by Default
Never store tokens in AsyncStorage. Use Keychain.
Ship > Perfect
Beta with real users beats perfection in isolation
Ownership Mindset
If I build it, I deploy it. I monitor it. I fix it.
Experience & Education
My professional journey and academic background
Work Experience
Thatha Business Development LLP
RemoteLead Mobile Application Developer & Full-Stack Engineer
July 2025 – PresentQuokka for Good LLC, USA
Sole lead developer for Inbo mobile apps (iOS & Android) and full-stack ownership of Inbo Web 2.0. Architecture, migration, deployment, and releases.
Esutra
Full-time InternshipMobile Application Developer Intern / Software Engineer Intern
April 2025 – June 2025 (3 months)India
React Native mobile app development, building mobile features and contributing to production codebase.
Education
Siliguri Institute of Technology
Bachelor of Technology (B.Tech)
Computer Science & Engineering
2021 – 2025West Bengal, India
What People Say
Trusted by Colleagues
Feedback from people I've worked with
"Arup took full ownership of complex mobile features and handled production releases with confidence. He approaches problems with a strong product mindset."
T
Team Lead
Thatha Business Development LLP
"Very reliable React Native developer with deep understanding of architecture and real-world constraints."
S
Senior Engineer
Teammate
The Journey
From robotics competitions to shipping production apps
Robotics & ML Foundations
Won 2 consecutive robotics competitions. Started exploring machine learning and AI.
Mobile Development Journey
Dove deep into React Native and Flutter. Built first production app with ML integration.
Production Apps at Scale
Led development of Inbo. Migrated to React Native New Architecture. Shipped to thousands of users.
Lead Developer (Inbo)
Sole lead mobile developer. Managing full product lifecycle across Web, iOS, and Android.
Let's Build Something Meaningful
I'm open to remote & global opportunities in React Native, Mobile Engineering, and Full-Stack roles where quality and ownership matter.