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I will build ai agents with vertex ai agent builder and gemini
Eduardo Cortés
Informazioni su questo servizio
Looking for an enterprise-grade AI agent that runs on your private corporate data without hallucinating?
I design and deploy production-ready AI search, chat, and reasoning agents using Google Cloud's Vertex AI Agent Builder and Gemini models, backed by secure data stores and Cloud Functions.
What this service delivers:
Grounded RAG Data Stores: Ingest unstructured docs (PDFs, docs, CSVs) via Cloud Storage for accurate, citation-backed answers.
Custom Tool Extensions: Connect agents to your backend systems and APIs using OpenAPI v3 and Cloud Functions.
Multi-Turn Reasoning Agents: Goal-driven conversational agents for customer support, tech docs, or internal operations.
Security & Guardrails: Strict safety filters, enterprise data privacy, and IAM role permissions.
Cloud Observability: Cloud Logging, audit trails, and groundedness evaluation metrics.
As a Google-certified software engineer, I ensure your architecture is secure, scalable, and cost-effective.
Message me before ordering to discuss your architecture and project goals!
Scopri di più su Eduardo Cortés
Eduardo Cortés
Full Stack and AI Engineer, Web, Mobile and Cloud Automation
- DaMessico
- Membro danov 2024
- Tempo di risposta medio1 ora
- Ultima consegna1 anno
Lingue
Spagnolo, Inglese, Francese
Hi, I’m Eduardo — a Software Engineer specializing in web and mobile applications with scalable serverless backends.
I turn ideas into tested, production-ready MVPs and platforms.
• AI & Automation: n8n, AI Agents, Tool Calling, RAG Pipelines
• Cloud & Enterprise: Google Cloud Platform (GCP), Vertex AI Agent Builder, Firebase
• Full-Stack: Angular, Astro, Flutter, TypeScript, REST APIs
• Google Certified: Project Management & AI Essentials
Looking to launch a fast website, build an MVP, or configure your Firebase cloud architecture? Send me a message and let's bring your project to life!
Il mio portfolio
FAQ
Do I need my own Google Cloud Platform (GCP) account?
Yes. All resources are deployed directly inside your GCP project via temporary IAM service account permissions, ensuring you keep 100% ownership and control of your data and infrastructure.
How do document updates work in the knowledge base?
Vertex AI Data Stores can automatically synchronize with your Google Cloud Storage buckets, re-indexing newly uploaded documents without interrupting the agent.
Can this agent trigger external APIs or execute actions?
Yes, using Vertex AI Extensions or Cloud Functions with OpenAPI v3 schemas, the agent can call your CRM, database, webhook, or any external REST API.
