SRE Technical Lead @ BMO | Building reliable systems at scale | AI-Augmented Development

Just shipped a production IoT monitoring system in 3 weeks using AI-assisted development (after 1.5 years of procrastination!). Four ESP8266 devices → InfluxDB → Grafana → Cloudflare Tunnel.

What I learned: AI tools (Claude Pro, GitHub Copilot, Cline) are force multipliers for infrastructure work—I focused on architecture, security, and reliability while AI handled implementation details.

SRE/DevOps: Terraform · Terragrunt · AWS CDK · Kubernetes · Docker · Dynatrace · Grafana · Prometheus Cloud: AWS · Azure · GCP · OpenStack · OpenNebula Databases: Postgres · InfluxDB · Cassandra · Oracle · MariaDB IoT/Embedded: ESP8266 · ESP32 · C/C++ · PlatformIO · Arduino Languages: Python · Bash · C/C++ · Java AI Tools: GitHub Copilot · Claude Pro · Cline

Production IoT system with 4 deployed sensors. C++ firmware with WiFi fallback, InfluxDB integration, and proper secrets management.

Tech: ESP8266 · C++ · PlatformIO · InfluxDB · DS18B20 · WiFi

Production self-hosted stack: InfluxDB, Grafana, Home Assistant, Prometheus, Nginx Proxy Manager, Cloudflare Tunnels.

Tech: Docker · InfluxDB · Grafana · Prometheus · Nginx · Cloudflare · Raspberry Pi

• BMO - SRE Technical Lead (2023-Present)

  • High-availability systems design and implementation
  • Pioneered AI-augmented development practices using GitHub Copilot and Claude
  • Observability with Dynatrace, Grafana, CloudWatch
  • SLO/SLA definition and tracking

• BlackBerry - Principal Database Reliability Engineer

  • 99.999% uptime for enterprise database infrastructure
  • Multi-cloud deployments (AWS, Azure, VMware, OpenStack)
  • Database automation at scale

💡 Always learning, always building. Currently exploring AI's role in SRE practices.