I help enterprise CTOs, VP of Engineering, and growth startups design, benchmark, and scale resilient, zero-data-leakage Google Cloud AI infrastructure, Multimodal RAG pipelines, and Agentic Workflows.
Test real-time architectural topologies and get live sizing, component recommendations, and run cost estimations.
Compare the true monthly TCO of managed Vertex AI Gemini serverless against dedicated GKE GPU clusters.
Managed Vertex AI pay-as-you-go vs. dedicated GKE cluster (A100/L4 GPUs, node overhead, idle capacity).
Test a live Vertex AI agent persona calibrated to answer queries on Tomas's technical advisory scope, cloud stack, and rates.
Sample architectures engineered and deployed across enterprise workloads.
Architected a sub-100ms enterprise knowledge retrieval engine using BigQuery Vector Search and Vertex AI Embeddings. Protected by VPC Service Controls with private IP endpoints, ensuring client data never leaves the security perimeter.
Engineered autonomous multi-agent pipelines leveraging Google's Agent Development Kit (ADK) and Vertex AI Agent Engine. Implemented A2A communication, stateful Memory Bank, and deterministic function-calling tools.
Designed automated budget enforcement architecture with Cloud Monitoring alerting, Pub/Sub, and Cloud Run kill switches. Cut unallocated cluster spend and token waste by 62% across high-concurrency LLM services.
Built high-throughput open-weight model serving (Gemma 2/3, Llama) using vLLM on GKE Autopilot with Kueue priority queueing and Ray on Cloud TPUs, delivering 3.4x token throughput per dollar.
Tailored engagement models designed for speed, clarity, and enterprise impact.
1-week intensive sprint reviewing your current Google Cloud architecture, IAM boundaries, VPC-SC, and LLM token spend.
2–4 week hands-on engineering sprint architecting and deploying production-grade RAG, Agentic workflows, or BigQuery AI systems.
Monthly strategic advisory retainer for CTOs and VPs of Engineering needing senior cloud & AI architectural governance.
This website (campabadal.com) runs entirely on Google Cloud Platform with zero idle server cost, automated SSL certificates, and global edge delivery.
Global SSD CDN edge caching with zero-latency cold starts and automated SSL.
Scales to 0 instances when idle. Handles contact dispatch and Vertex AI API proxy.
Native generative AI powering the dynamic architecture advisor & digital representative.
Enterprise Google Cloud DNS configuration with strict IAM service accounts.
Reach Tomas directly to discuss your enterprise Google Cloud roadmap, RAG system, or FinOps goals.
Inquiries are routed directly to Tomas's inbox.