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@alirezarezvani

Engineering Team

32 engineering skills: architecture, frontend, backend, fullstack, QA, DevOps, security, AI/ML, data engineering, Playwright (9 sub-skills), self-improving agent, Stripe integration, TDD guide, tech stack evaluator, Google Workspace CLI, a11y audit (WCAG 2.2), Azure cloud architect, GCP cloud architect, security pen testing, Snowflake development, adversarial-reviewer, ai-security, cloud-security,

16 skills · pack

Results for “google-ai”

10 skills

agent-platform-migrate-from-ai-studio

Migrate applications from Google AI Studio to Google Cloud Agent Platform, enabling enterprise features like IAM, billing, and SLAs.

google-cloud-solution-agentic-ai-bidirectional-streaming

Designs and implements a Google Cloud solution for live, bidirectional multimodal streaming workloads with AI agents, covering requirements discovery, architecture design, and deployment planning.

agent-platform-prompt-management

Creates, lists, retrieves, versions, and deletes managed prompts in Google Cloud Agent Platform using the Python SDK.

14.4k · bundle

agent-platform-inference

Authenticates and connects to Google Cloud Agent Platform for inference with Gemini and third-party OpenMaaS models (Llama, DeepSeek, Qwen). Generates code for multiple SDKs, configures endpoints, and troubleshoots common errors.

14.4k · bundle

More results

agent-platform-model-registry

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

Deploys and optimizes AI/ML inference workloads on GKE, using GPUs, TPUs, and model servers.

cloudthinker-ai

Manages Google Kubernetes Engine clusters via gcloud CLI, covering cluster discovery, node pool management, workload analysis, autopilot configuration, and upgrade planning.

cloudthinker-ai

Manages Google AlloyDB for PostgreSQL clusters and instances via gcloud CLI, covering discovery, instance analysis, query insights, backup configuration, and maintenance windows.

cloudthinker-ai

Manages and analyzes Google Cloud Run services using gcloud CLI, covering service discovery, revision traffic splitting, scaling, concurrency tuning, and container diagnostics.

agent-platform-tuning

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

14.4k · bundle