Backend Engineering · AI Automation · GCP

Building reliable systems.
Solving complex problems.

Lucas Caldas

I build with quality, earn trust through consistency, and solve hard problems with clear and reliable execution.

Backend EngineeringAI Agents & AutomationCloud Architecture / GCPMLOps & Data Pipelines
Delivery Pipeline
ACTIVE

Outcome Focus

Reliable backend systems and automated decision flowsArchitected for scale, observability, and fast iteration

Core Expertise

  • Backend Engineering
  • AI Agents & Automation
  • Cloud Architecture / GCP
  • MLOps & Data Pipelines

Active Stack

Python · C# · TypeScript

GCP · Vertex AI · ADK

MLOps · Airflow DAGs · Apache

Describe your challenge and discover relevant solutions.

Scroll

Areas of expertise

Backend Engineering

Java, Python and .NET/C# services with resilient APIs, asynchronous workloads, and high-availability architecture.

AI Agents & Automation

Multi-agent workflows with ADK, Vertex AI, and MCP integrations to automate business operations end-to-end.

Cloud Architecture / GCP

Cloud Run, BigQuery, Pub/Sub, IAM, and serverless-first platform design that scales with predictable cost and reliability.

MLOps & Data Pipelines

Orchestrated pipelines with Airflow DAGs, model lifecycle operations, and production-ready ML systems that stay observable.

Featured work

All projects

Technical demos, live.

Labs is where architecture becomes interactive. Agentic workflows, data pipelines, and system simulations shown as running systems, not slides.

Explore Labs
Agent Pipeline · ADK + MCP
User Query ↓ ADK Orchestrator ↓ MCP Toolbox (Jira / Looker / BQ) ↓ Vertex AI (Gemini) ↓ Tool Call: [search, query, fetch] ↓ Response + Citations

I work at the intersection of software engineering, cloud infrastructure, and applied AI. My focus is building systems that perform in production and scale under real constraints.

How I build

Let's talk

Available for senior engineering positions and architecture consulting.