2. DevOps & Infrastructure

Builds and optimizes production AWS serverless applications using Lambda, API Gateway, DynamoDB, and SAM/CDK for event-driven architectures.

Provides Bash scripting utilities for Linux/macOS terminal operations, including critical commands, piping, and error handling.

Instantly provisions production-ready PostgreSQL databases on Neon with support for Drizzle, Prisma, and raw SQL. Simplifies database setup for development and production environments.

Generates Sparkle appcast.xml from build artifacts and git changes, then syncs to docs for macOS app update publishing.

Provides CLI tools for creating, configuring, and deploying static websites on Azure Static Web Apps, including local development and GitHub Actions CI/CD setup.

Adds telemetry instrumentation to web applications for monitoring and analysis in Azure App Insights.

Generates Mermaid diagrams to visualize Azure resource group relationships, aiding infrastructure understanding and documentation.

Performs preflight validation for Azure Bicep deployments, including syntax checks, what-if analysis, and permission verification to ensure successful infrastructure deployments.

Checks current deployment status, uptime, and operational state of a Railway project in the local directory.

Manages Railway platform services including status checks, renaming, icon changes, linking, and Docker-based service creation.

Automates code deployment to Railway platform using 'railway up' command for standard pushes and deployments.

Manages IT infrastructure, monitoring, incident response, and service reliability using ITIL frameworks, observability, and automation for operational excellence.

Automates debugging and fixing failing GitHub Actions CI/CD checks by analyzing logs, generating a fix plan, and implementing changes upon approval.

Automates multi-cloud orchestration for ML workloads, optimizing costs through spot instance utilization and GPU resource management across cloud providers.

Comprehensive DevOps solution for CI/CD pipeline setup, infrastructure as code, containerization, and cloud platform management across AWS, GCP, and Azure.

Manages Railway service domains: add, view, remove, and generate custom domains for application deployment and URL configuration.

Manages Railway environment configurations including variables, service settings, and lifecycle operations through query, stage, and apply actions.

Manages Railway deployment lifecycle: redeploy, restart, logs, status, and history for application deployments.

Queries real-time resource metrics (CPU, memory, network, disk) for Railway platform services to monitor performance and troubleshoot issues.

Automates Railway project initialization, service configuration, and deployment setup for both new and existing projects.

Adds Railway database services (Postgres, Redis, MySQL, MongoDB) via natural language commands for seamless infrastructure integration.

Implements infrastructure as code with Terraform and Kubernetes, designing scalable architectures, CI/CD pipelines, and security-first DevOps solutions for cloud platforms.

Automates fixing and pushing code to a pull request until all CI checks pass, eliminating manual iteration cycles.

Commands to list, switch, rename, and configure Railway projects, including PR deploys and visibility settings.