MLOps Industrialization
A framework to transform experimental ML prototypes into robust, production-ready Python packages using src layout, hybrid architecture, and strict configuration management.
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432 skills found
A framework to transform experimental ML prototypes into robust, production-ready Python packages using src layout, hybrid architecture, and strict configuration management.
AWS RDS management for provisioning, scaling, and operational maintenance of managed relational databases including MySQL, PostgreSQL, and Aurora.
Tool for recovering deleted or force-pushed GitHub commit content, diffs, and metadata using the REST API, git fetch, and direct URL access.
Pre-implementation confidence assessment tool for developers. Ensures 90%+ readiness via duplicate checks, architecture compliance, official docs verification, and root cause analysis.
Deploy isolated development containers with web-accessible VSCode, VNC, and automated app routing via Traefik or Cloudflare Tunnels.
Comprehensive n8n workflow testing framework for lifecycle validation, node-to-node data flow, error handling, and performance benchmarking in automated environments.
Automates the lifecycle management of ephemeral Neon PostgreSQL databases for testing, CI/CD, and rapid prototyping workflows.
Expert assistant for building modern Next.js 13+ applications using the App Router, including Server Components, nested layouts, streaming with Suspense, and advanced data fetching patterns.
Edit Elementor pages and manage templates on WordPress sites via WP-CLI or visual browser automation.
Create structured specifications for platform changes including GitHub issues, SDD templates, and automated type inference for infrastructure and security.
Implement robust backend error handling with custom classes, middleware, structured logging, and recovery patterns.
Safely refactor code to improve structure and maintainability while preserving behavior through TDD cycles and automated test verification.