Tools I Actually Use
From cloud infrastructure to AI orchestration - the complete stack I use to architect scalable systems. Each tool chosen for a specific purpose, working together as a unified ecosystem.
Build Fast, Fix Later
Working prototype by Friday, polished by never
Making Old & New Friends
That 20-year-old system? Yeah, I can connect it to your shiny new API
AI Where It Helps
Not everything needs AI, but when it does, I make it count
Built to Scale
Systems that grow with your needs, not against them
AI Command Line Magic
Teaching the terminal to understand what I mean, not what I type. AI assistants are my daily drivers.
- Natural language commands
- Context-aware automation
- Self-documenting processes
- Intelligent error handling
AI Agents - LLMs with Tools
Agents are just LLMs running tools in a loop. They solve complex problems autonomously - like having a team that never sleeps.
- Autonomous problem solving
- Tool orchestration
- Multi-step reasoning
- Self-correction loops
MCP - Making AI Talk to Everything
The secret sauce that lets AI actually do stuff in the real world, not just chat about it.
- AI-to-system connectivity
- Context-aware tooling
- Stateful conversations
- Multi-model orchestration
n8n - Automation Without Code
Visual workflow automation that actually works. Connect APIs, trigger actions, build complex flows - all without writing a single line of code.
- Visual workflow builder
- API integrations
- Webhook triggers
- Self-hosted control
Making Systems Play Nice
Getting 20 different tools to work together without wanting to throw my laptop out the window.
- Multi-system integration
- Real-time data synchronization
- Event-driven architecture
- Self-healing pipelines
Automation That Actually Works
Building stuff that gets smarter over time, so I don't have to fix the same problem twice.
- Machine learning integration
- Predictive optimization
- Anomaly detection
- Adaptive workflows
Data Without the Drama
Letting teams own their data without creating a mess. Harder than it sounds.
- Domain-driven design
- Self-serve data platform
- Federated governance
- Real-time data products
Cloud Stuff That Scales
Building on clouds without getting rained on. Currently deep in the Kubernetes rabbit hole.
Currently deepening expertise in Kubernetes, serverless patterns, and multi-cloud strategies
- Kubernetes orchestration
- Serverless architectures
- Multi-cloud strategies
- Infrastructure as Code
Google Cloud & Vertex AI
Enterprise-grade infrastructure meets cutting-edge AI. Running production workloads on GCP with Vertex AI for ML at scale.
- Vertex AI pipelines
- Cloud Run deployments
- BigQuery analytics
- GKE orchestration
ADK & A2A Integration
Application Development Kit and App-to-App communication. Building seamless integrations that just work.
- Service mesh architecture
- Event-driven patterns
- API orchestration
- Cross-platform SDKs
CI/CD & Nx Monorepos
Ship fast, ship safe. Nx for monorepo magic, GitHub Actions for automation, and deploy with confidence every single time.
- Nx workspace optimization
- Automated testing pipelines
- Progressive deployments
- Rollback strategies
Sentry & Observability
Know about problems before users do. Real-time error tracking, performance monitoring, and insights that actually help.
- Error tracking & alerts
- Performance monitoring
- User session replay
- Custom dashboards
Security That Doesn't Suck
Making secure systems that people can actually use. No, a 47-character password isn't the answer.
- End-to-end encryption
- Identity-based access
- Automated compliance
- Threat detection
How I Think About Building
These are the ideas that keep me up at night (in a good way). Everything connects to everything else - that's the point.