Results for “model-backdoor”

Manage machine learning models in the Agent Platform Model Registry: list, describe, upload, update, and delete models and their versions.

Deploy trained machine learning models as production-ready services using REST APIs, containers, serverless functions, and orchestration platforms. Use when the user requests model deployment or provides relevant inputs for this workflow.

Designs and implements backend systems including REST APIs, microservices, database architectures, authentication flows, and security hardening. Covers Node.js/Express/Fastify development, PostgreSQL optimization, API security, and backend architecture patterns.

Designs, reviews, and scales backend systems with detailed blueprints, trade-off analysis, and technology recommendations.

Routes reverse engineering, exploitation, penetration testing, malware, mobile, firmware, browser automation, documentation, and security tasks to the appropriate specialist skill. Use when a task spans modules or the correct reverse-skill entrypoint is unclear.

Fine-tune open models or Gemini models using Agent Platform infrastructure, from environment setup through data preparation, job configuration, monitoring, and deployment.

Deploy a trained model to serving with versioning, shadow or canary rollout, and a tested rollback path.