Case Studies

Deep dives into real projects showing the challenges faced, solutions implemented, and measurable business outcomes achieved.

ClassCharts EdTech Platform

Scaling from startup to millions of users

8+ Years
Long-term Partnership
Millions
Active Users
99.9%
Uptime Achieved

The Challenge

Joined ClassCharts as the first developer hire after the CTO when the platform was serving thousands of UK schools. The challenge was to scale the system to handle millions of users while maintaining reliability and adding new features for teachers, students, and parents.

Key Technical Challenges

  • Database performance bottlenecks with growing user base
  • Real-time notifications for millions of users
  • Complex permission system for schools, teachers, students, and parents
  • Mobile app synchronization and offline capabilities
  • GDPR compliance and data protection

Solutions Implemented

Database Optimization

  • Implemented strategic indexing reducing query times by 80%
  • Added read replicas for reporting and analytics
  • Optimized complex joins and introduced materialized views

Scalable Architecture

  • Migrated from single server to cloud infrastructure
  • Implemented load balancing and auto-scaling
  • Added Redis caching layer reducing load by 60%

Real-time Features

  • Built WebSocket system for instant notifications
  • Implemented message queuing for reliable delivery
  • Added push notifications for mobile apps

Quality Assurance

  • Introduced comprehensive test suite (unit, integration, E2E)
  • Set up CI/CD pipeline reducing deployment time by 90%
  • Implemented monitoring and alerting systems

Business Impact

Performance Improvements

  • Page load times reduced from 5s to under 1s
  • System downtime reduced from hours to minutes per month
  • Database query performance improved by 80%
  • Mobile app crash rate reduced to under 0.1%

Business Growth

  • Platform scaled to serve millions of users
  • Enabled expansion to international markets
  • Supported 10x increase in concurrent users
  • Reduced infrastructure costs per user by 40%

Technologies Used

PHPLaravelMySQLRedisJavaScriptVue.jsAWSDockerNginxWebSockets

Government IoT Smart City Platform

Nationwide infrastructure for connected devices

6 Months
Development Time
1000s
Connected Devices
24/7
Data Processing
SOC 2
Security Compliance

Project Overview

Designed and implemented the backend architecture for a Middle Eastern government's nationwide smart city initiative. The system needed to securely process and analyze data from thousands of connected devices across multiple urban areas while meeting strict government compliance requirements.

Architecture Highlights

  • Microservices architecture with Kubernetes orchestration
  • Event-driven design using Apache Kafka
  • Time-series data storage with Cassandra
  • Real-time analytics and alerting system
  • Multi-region deployment for high availability

Security & Compliance

  • End-to-end encryption for all data transmission
  • Role-based access control with audit logging
  • Government-grade security protocols
  • GDPR and local privacy law compliance
  • Penetration testing and security audits

Technical Stack

TypeScriptNode.jsKubernetesCassandraKafkaPostgreSQLRedisGrafanaPrometheusDocker

MarketAlerts

AI-powered market intelligence and trade ideas

20+ Markets
Global Coverage
Real-time
AI Monitoring
8 Alert Types
Smart Notifications
95%
Accuracy Rate

The Challenge

Build a comprehensive AI-powered financial platform that monitors global markets 24/7 and provides intelligent alerts for various market events. The system needed to process real-time market data, analyze patterns using AI, and deliver personalized notifications to traders and investors across 20+ international markets.

AI-Powered Features

  • Earnings call and report summarization
  • Technical chart pattern recognition
  • Insider transaction monitoring
  • Analyst rating change detection
  • M&A and product announcement tracking
  • Financial guidance change alerts

Technical Architecture

  • Real-time data ingestion from multiple sources
  • AI-powered content analysis and classification
  • Scalable notification system
  • Multi-market data normalization
  • Advanced watchlist management
  • Mobile-responsive dashboard

Key Achievements

Platform Capabilities

  • 24/7 monitoring of global financial markets
  • AI-driven pattern recognition and alerts
  • Support for 20+ international stock exchanges
  • Real-time price and volume analysis
  • Intelligent notification prioritization

User Experience

  • Intuitive watchlist creation and management
  • Customizable alert preferences
  • Mobile-optimized interface
  • Interactive market data visualization
  • Product Hunt featured launch

Technology Stack

AstroTypeScriptReactNode.jsAI/ML APIsFinancial APIsReal-time DataWebSocketsTailwindCSSPostgreSQL

AI-Powered News Aggregation Platform

Processing thousands of articles daily with AI classification

50K+
Articles/Day
5s
Processing Time
95%
Classification Accuracy
Multi-lang
Support

AI Integration Features

Content Processing

  • Automated article summarization using OpenAI GPT
  • Content classification and tagging
  • Duplicate detection and deduplication
  • Sentiment analysis and trend detection

Search & Discovery

  • Vector search using embeddings
  • Semantic similarity matching
  • Personalized content recommendations
  • Real-time search with sub-second response

AI & Data Stack

OpenAI APIAnthropic ClaudeVector DBPythonFastAPICeleryRedisPostgreSQLElasticsearchDocker

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