10x faster
Enhanced Qdrant MCP Server
Production-ready MCP server with GPU acceleration and 10x performance boost
Python
FastEmbed
GPU
Docker
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Live Production Systems
Deployed applications you can visit right now. Every system is live, processing real traffic, and demonstrating enterprise-grade architecture.
5 Live Systems
99.8% Average Uptime
Real Payment Processing
MCP Inspector Assessmentactive
open-source
Public Repo
208+ automated tests for MCP server validation covering functionality, security, error handling, documentation, and usability
Tests
208+
Pass Rate
100%
Coverage
5-Point
TypeScript
Jest
MCP Protocol
Test Automation
Quality Assurance
208+ automated validation tests
Functionality, security, error handling
Documentation & usability testing
SmartMatchResume.comactive
saas
Public Repo
AI-powered resume analyzer with enterprise payment processing and real-time job matching
Uptime
99.8%
Payment Processing
Stripe Live
Test Coverage
185+ tests
Next.js 15
Stripe API
PostgreSQL
Prisma
AI Matching
Real Stripe payment processing
AI-powered job matching algorithm
Enterprise authentication system
ToolNexusMCP.comactive
directory
Private Repo
Comprehensive MCP server directory serving the AI developer community (architecture patterns documented)
MCP Servers
100+
Community
Active
Revenue Model
Monetized
React
TypeScript
PostgreSQL
Stripe
Content Management
MCP server directory platform
Revenue-generating monetization
Community-driven content
BestOfBrandonMS.comactive
content
Private Repo
Multi-tenant local business directory with AdSense integration and enterprise CMS
Platform
Multi-Tenant
Revenue
AdSense
Content
CMS
Next.js
PostgreSQL
AdSense
Multi-Tenant Architecture
Multi-tenant SaaS architecture
AdSense revenue optimization
Enterprise content management
BestOfGluckstadtMS.comactive
content
Private Repo
Local business directory platform with content management and advertising integration
Platform
Production
Content
Dynamic
Ads
Integrated
Next.js
Content API
AdSense
SEO Optimization
Production content platform
SEO-optimized architecture
Advertising integration
All systems deployed on enterprise infrastructure with automated CI/CD, comprehensive testing, and production monitoring.
Click any system above to see it live and explore the full implementation. Source code available on GitHub
Enterprise Payment Expertise
Payment Integration Expertise
Enterprise payment patterns with comprehensive architecture documentation. Production systems use these patterns with proprietary business logic. Architecture and best practices publicly documented.
Enterprise Patterns
Multi-Provider Architecture
PCI DSS Compliant
Multi-Provider Architecture Patterns
Enterprise Payment Patterns
Stripe + PayPal Integration (architecture in stripe-integration-boilerplate repo)
Technologies
Stripe API
PayPal SDK
Payment Intents
Subscriptions API
Business Value
Webhook processing with signature verification
PCI-compliant tokenization
Subscription lifecycle management
Production error handling
Webhook Processing
Signature Verification + Event Processing
Event-driven architecture for reliable payment event handling and business logic automation
Technologies
Webhook Endpoints
Event Validation
Idempotency
Retry Logic
Business Value
Real-time payment status updates
Automated subscription management
Secure signature verification
Subscription Management
Automated Billing Cycles
Complete recurring billing system with automated lifecycle management and customer self-service
Technologies
Subscription APIs
Proration
Plan Management
Cancellation Flows
Business Value
Automated recurring payments
Customer subscription control
Revenue optimization patterns
PCI DSS Compliance
Bank-Level Security
Security-first implementation following industry standards for payment card data protection
Technologies
Tokenization
HTTPS Only
No Card Storage
Secure Elements
Business Value
Zero card data storage
PCI compliance by design
Customer data protection
Live Payment Systems in Production
SmartMatchResume.com
Stripe payment processing for AI resume analysis services
Production Live
Subscription Platform
PayPal subscription management with automated billing
Active Subscriptions
Webhook Infrastructure
Event processing for both Stripe and PayPal webhooks
99.9% Reliability
Implementation: Production systems use these patterns with proprietary business logic. Architecture and best practices publicly documented.
Boilerplate repositories: stripe-integration-boilerplate • authentication-boilerplate • private-repo-documentation
Real-World Business Impact • Production-Ready Solutions
Problems I've Solved for Businesses
These AI solutions deliver measurable business value. Each project shows the specific problem solved, technical approach taken, and quantified results achieved.
10x
Performance Improvements
Average speed increase across systems
95%
Cost Reductions
Through intelligent optimization
99.9%
System Uptime
Production reliability achieved
Most Impactful Project
Delivered 10x performance improvements with enterprise-grade reliability
White Paper Available
🟢 Production
Integrated AI Agent Ecosystem
Enterprise-grade platform for orchestrating, monitoring, and optimizing AI agent deployments at scale
Operations Performance
Problem:Comprehensive ecosystem for creating, orchestrating, and monitoring AI agents wi...
Solution:The integrated Speak System adds context-aware voice capabilities with 95% cost...
Impact:ops/sec with priority queues
TypeScript
React
Next.js
Heap Algorithms
TTS Integration
Performance Monitoring
+2 more
Screenshot
🟢 Production
Enhanced Qdrant MCP Server
Production-ready MCP server with GPU acceleration, multi-vector support, and automated deployment infrastructure
Query Performance
Problem:Database Query Performance Bottlenecks Limiting System Scala...
Solution:Transform the basic MCP server into an enterprise-grade solu...
Impact:10x faster
Python
FastEmbed
Qdrant
Docker
+4 more
Screenshot
🟢 Production
Speak-App TTS System
Universal Text-to-Speech with 95% cost optimization and multi-provider architecture
Cost Optimization
Problem:Text-to-speech system with intelligent provider routing, com...
Solution:The Speak-App TTS System is a text-to-speech solution design...
Impact:savings via smart routing
Python
OpenAI TTS
ElevenLabs
pyttsx3
+4 more
High-Impact Solutions
Recent projects demonstrating innovation and measurable business value
Screenshot
🟢 Production
Enhanced Qdrant MCP Server
Production-ready MCP server with GPU acceleration, multi-vector support, and automated deployment infrastructure
Query Performance
Problem:Database Query Performance Bottlenecks Limiting System Scala...
Solution:Transform the basic MCP server into an enterprise-grade solu...
Impact:10x faster
Python
FastEmbed
Qdrant
Docker
+4 more
Screenshot
🟢 Production
Speak-App TTS System
Universal Text-to-Speech with 95% cost optimization and multi-provider architecture
Cost Optimization
Problem:Text-to-speech system with intelligent provider routing, com...
Solution:The Speak-App TTS System is a text-to-speech solution design...
Impact:savings via smart routing
Python
OpenAI TTS
ElevenLabs
pyttsx3
+4 more
Additional Business Solutions
More examples of problems solved and value delivered
Screenshot
🟡 Development
AI-Powered Matching & Optimization System
Success Rate
Problem:Traditional Systems Rejecting Qualified Candidates Due to Pa...
Solution:Create an intelligent analysis engine that combines vector d...
Impact:3x improvement
Python
FastAPI
LangChain
OpenAI GPT
+7 more
The Impact You Can Expect
Business Outcomes:
- • $3.5M+ documented ROI through intelligent automation
- • 95% cost reduction in operational workflows
- • Zero system failures across 25+ enterprise deployments
- • Clear metrics and reporting for stakeholder confidence
Technical Excellence:
- • Fortune 500-grade reliability and performance
- • 10x faster data processing and system response
- • Comprehensive monitoring preventing downtime
- • Full documentation and knowledge transfer included
All projects are open source with full documentation and performance benchmarks
Enterprise Architecture Patterns
Advanced System Architecture
Staff-level architecture patterns demonstrating enterprise-scale system design. Not single applications—complete ecosystems with shared infrastructure and sophisticated coordination.
Multi-Application Monorepo
Shared Component Library
Unified API Gateway
Monorepo Management
40% reduction in duplicate code
Multi-application ecosystem with unified infrastructure and shared dependencies
Business Value
Code reuse across 4+ applications, consistent tooling, atomic changes
Implementation
Shared component library (70+ components)
Unified Prisma schema across applications
Centralized CI/CD configuration
API Gateway Pattern
Unified security model across ecosystem
Unified backend API serving multiple frontends with authentication and routing
Business Value
Single source of truth for backend logic, consistent authentication, service proxying
Implementation
JWT authentication for all applications
WebSocket real-time communication
Centralized admin routes
Dual-Mode Infrastructure
4-6x potential conversion improvement
Environment-based application mode switching enabling instant business transformation
Business Value
30-second business model activation, A/B testing capability, revenue flexibility
Implementation
Portfolio ⇄ Business consultancy modes
Mode-aware component rendering
Separate analytics tracking per mode
Multi-Tenant Architecture
Scalable to unlimited tenants
Scalable platform supporting multiple client instances with resource isolation
Business Value
Single codebase serving multiple tenants, efficient resource usage, isolated data
Implementation
Tenant-specific configurations
Shared infrastructure with data isolation
Per-tenant customization
Triepod.ai Unified Ecosystem
4+
Applications
70+
Shared Components
1
Unified Database
100%
Code Reuse
Shared Infrastructure
Common authentication, database schemas, component libraries, and deployment configurations ensure consistency and reduce maintenance burden across all applications
Atomic Changes
Single pull requests can update shared components across multiple applications, enabling synchronized releases and reducing integration complexity
Architecture patterns proven in production, not theoretical designs. Every pattern solved real scaling challenges in multi-application environments.
36 Open Source Projects • 127 Stars • Production Ready
Featured AI Projects
Production AI tools with real-world impact. Open source, performant, and developer-focused.
AI Development Specializations
MCP Server Architecture
Enterprise-grade Model Context Protocol implementations
Vector Database Integration
High-performance vector search and similarity matching
Production AI Infrastructure
Scalable AI systems with monitoring and observability
94% accuracy
SmartMatch Resume Advisor
AI-powered resume optimization achieving 94% job match accuracy
TypeScript
Claude AI
Vector DB
React
95% success
N8N Workflow Generator MCP
Automated workflow generation with 95% success rate across complex scenarios
TypeScript
N8N
MCP
Automation
50+ tools
ToolNexus MCP Directory
Comprehensive MCP server directory with 50+ tools and growing community
React
TypeScript
Postgres
Stripe
99.8% uptime
VectorCodeLens
Semantic code search achieving 99.8% uptime in production environments
Python
ChromaDB
FastAPI
Docker
153MB capacity
Claude Analyzer MCP
Enterprise conversation processing handling 153MB+ files with Redis optimization
TypeScript
Redis
MCP
Analytics
Currently Building
Active MCP Server Development and AI infrastructure projects in various stages of completion
Current Development Focus
MCP Framework
Unified development platform
AI Memory Systems
Enhanced persistence solutions
IDE Integration
Development tool extensions
Unified MCP Framework
Building a comprehensive framework for rapid MCP server development with built-in best practices
Building
AI Memory System v2
Enhanced memory persistence for AI agents with Redis optimization and 30+ day retention
Testing
65%
Redis
TypeScript
MCP
Neo4j
Claude Code Extensions
Custom extensions for Claude Code IDE integration with project-specific intelligence
Planning
20%
VSCode API
TypeScript
LSP
Follow progress onGitHub