Gobadi
Technical architect and lead developer for an AI-powered livestock healthcare platform
2s
processing time
95%
ai accuracy
99%
app performance
99.9%
uptime
Project Overview
Gobadi is our startup's livestock management platform that revolutionizes veterinary care through AI-powered diagnostics and telemedicine. As the technical architect and lead developer, I designed and implemented both the mobile application and admin dashboard, focusing on creating a robust architecture that handles AI-based disease detection, automated pricing systems, and real-time vet consultations. Working closely with product management, I established the technical foundation for scaling our platform.
Key Challenges
System Architecture
Designing a scalable architecture to handle AI processing, real-time communication, and automated pricing
AI Integration
Creating reliable image processing pipeline for livestock disease detection and automated price calculation
Performance at Scale
Implementing advanced caching and state management for optimal user experience
Error Handling
Developing comprehensive error handling and logging system for better debugging and monitoring
Solutions Implemented
Robust Architecture Design
Implemented scalable architecture with advanced error handling and logging
- Designed modular architecture separating AI processing, user management, and consultation systems
- Implemented comprehensive error handling with detailed logging
- Created efficient caching strategies using Redis
- Built automated failover systems for critical services
- Developed optimized database schemas for quick data retrieval
Mobile App Development
Built React Native app with optimized state management and offline capabilities
- Implemented efficient Redux state management architecture
- Created optimized image processing pipeline for AI analysis
- Built real-time consultation feature with WebSocket
- Developed robust offline mode with data synchronization
- Implemented automated price calculation system
Admin Dashboard
Developed comprehensive admin interface with real-time monitoring
- Built scalable React admin dashboard using shadcn/ui
- Implemented real-time monitoring of system metrics
- Created detailed analytics for disease detection patterns
- Developed vet consultation management system
- Added automated pricing oversight tools
AI Integration
Implemented robust AI processing pipeline for disease detection
- Created optimized image processing pipeline for OpenAI integration
- Implemented automated disease detection system
- Built dynamic pricing algorithm based on AI analysis
- Developed caching system for AI responses
- Added failure handling for AI processing
Technology Stack
frontend
backend
database
monitoring
Development Process
Architecture Planning
2 weeks- Designing system architecture for scalability
- Planning state management structure
- Creating error handling strategy
- Designing AI integration pipeline
- Planning caching implementation
Foundation Development
4 weeks- Setting up base architecture
- Implementing core state management
- Creating error handling system
- Building logging infrastructure
- Implementing caching system
Feature Implementation
6 weeks- Developing AI image processing pipeline
- Building consultation system
- Creating pricing algorithm
- Implementing real-time features
- Building admin dashboard
Optimization Phase
4 weeks- Optimizing app performance
- Enhancing error handling
- Improving caching efficiency
- Refining AI processing
- Streamlining state management