AdInvestor.co
Enterprise AI-Powered Advertising Platform with Real-Time Optimization
Project Overview
AdInvestor.co is a sophisticated advertising platform that leverages artificial intelligence to optimize ad campaigns in real-time. Built with enterprise-grade architecture, it handles millions of ad impressions daily while providing advanced analytics and automated bidding strategies.
Challenge
Building a scalable advertising platform that can process millions of real-time bidding requests while maintaining sub-50ms response times and providing AI-driven optimization.
Solution
Implemented microservices architecture with React frontend, Node.js backend, Redis caching, and TensorFlow.js for real-time AI optimization.
Outcome
Achieved 99.9% uptime, 50ms average response time, and 15% improvement in campaign performance through AI optimization.
Technical Architecture
Frontend Stack
- React 18 with TypeScript
- Redux Toolkit for state management
- Material-UI component library
- D3.js for advanced visualizations
Backend Infrastructure
- Node.js with Express framework
- MongoDB with Redis caching
- TensorFlow.js for AI optimization
- AWS ECS with auto-scaling
Development Timeline
Phase 1: Architecture & Planning
System design, technology selection, and microservices architecture planning
Duration: 2 weeksPhase 2: Core Development
Backend API development, database design, and frontend implementation
Duration: 8 weeksPhase 3: AI Integration
Machine learning model development and real-time optimization engine
Duration: 4 weeksPhase 4: Testing & Deployment
Comprehensive testing, performance optimization, and production deployment
Duration: 3 weeksSEPInsights.com
Advanced Patent Analytics Platform with Machine Learning Intelligence
Project Overview
SEPInsights.com is a comprehensive patent analytics platform that leverages advanced machine learning algorithms to provide competitive intelligence and IP portfolio management. The system processes millions of patent documents and provides real-time insights.
Challenge
Processing and analyzing millions of patent documents with complex legal language while providing real-time search and competitive intelligence insights.
Solution
Built custom NLP pipeline with Python, FastAPI, PostgreSQL, and machine learning models for patent classification and similarity analysis.
Outcome
Achieved 95% accuracy in patent classification, sub-second query times, and comprehensive competitive intelligence platform.
Machine Learning Pipeline
Data Processing
- Python with Selenium for web scraping
- BigQuery for large-scale data processing
- IP rotation for reliable data collection
- Real-time data synchronization
Analytics Engine
- Custom NLP models for patent analysis
- Elasticsearch for advanced search
- Real-time analytics dashboard
- Automated monitoring and alerting
Datatrics.com
Enterprise Customer Data Platform with Microservices Architecture
Project Overview
Datatrics.com is a sophisticated Customer Data Platform (CDP) built with microservices architecture. It handles massive data volumes with real-time processing, featuring specialized services for API, frontend, workbench, and targeting components.
Microservices Architecture
Frontend Stack (Vue.js)
- Vue.js 2.6.10 with Element UI
- Highcharts for data visualization
- Vue-i18n for internationalization
- Sentry for error tracking
Backend Infrastructure
- PHP 7.4 with Symfony framework
- MongoDB with Redis caching
- Docker containers with Kubernetes
- GeoIP integration for location data
Recent Development Insights
Production Optimizations
-
Hotfix Implementation:
Fixed content display issues and Argentina region codes
-
User Experience:
Enhanced demo project settings and integration installations
-
API Optimization:
Improved response times and project management features
Infrastructure Highlights
-
Containerization:
Multi-stage Docker builds with optimized PHP-FPM
-
Data Processing:
Real-time event processing with advanced caching
-
Analytics:
Advanced data visualization with Highcharts integration
ROAI, Paris
Advanced Freelance Platform with Django Backend and Production Deployment
Project Overview
ROAI is a sophisticated freelance platform built with Django and modern web technologies. Features advanced user management, real-time communication, and comprehensive project lifecycle management with production-ready deployment infrastructure.
Technical Implementation
Backend Architecture
- Django 3.2.13 with Gunicorn
- PostgreSQL with environment config
- WhiteNoise for static files
- Docker with Nginx proxy
Development Features
- Mobile-responsive design
- Email verification system
- Advanced user management
- Real-time communication
Recent Development Activity
Mobile Optimization
Enhanced navigation with breadcrumb improvements and responsive design
Email System
Comprehensive verification and notification system implementation
Production Deployment
Docker containerization with production environment configuration