Enterprise AI foundations
Defining governance around Azure AI Foundry, Microsoft Fabric, APIM, AI gateway, WAF, and Copilot Studio so AI access and data stay controlled.
Field Notes / About
I build infrastructure that stays readable when things get noisy.
I am David Carvalho, a cloud engineer focused on multi-cloud governance, platform automation, and practical AI enablement across distributed environments.
Most of my work lives between architecture and operations: enterprise AI foundations and cloud platforms at work, and OCR-backed document pipelines, retrieval systems, AI coding runtimes, and operator tooling in personal projects.
At Work
Current professional focus across enterprise AI, multi-cloud platforms, and delivery operations.
Azure delivery and remediation
Building Terraform landing zones, Docker and ACR CI/CD, and reworking unstable Azure environments into secure, automated production baselines.
Monitoring and automation
Using Python, Azure Monitor, Grafana, and Meraki automation to tighten visibility, certificate tracking, and operational follow-through.
In The Lab
The personal systems I use to pressure-test OCR ingestion, embeddings, reranking, research workflows, and operator tooling.
ulogo.it
A production logo cleanup and generation bench with upload and prompt flows, worker-backed image processing, brand-pack exports, credits, billing, developer API, and CLI support.
Claree
A Swiss insurance audit engine with OCR ingestion, TaskIQ-backed processing, pgvector retrieval, configurable embeddings and reranking, and Agno agents for overlap and coverage-gap analysis.
ElyzeLabs
A local-first AI operations system with gateway routing, queueing, memory, governance, and runtime adapters for Codex, Claude, and Gemini.
PolyX
An AI-native X intelligence toolkit for search, watch, sentiment, trend detection, and polished research reports.
Polybot
A Polymarket and MT5 runtime with daemon orchestration, monitoring, and operator-focused decision workflows.
Technical Fingerprint
The stack shifts by context, but these are the platforms, retrieval components, and AI tools I keep returning to across work and personal builds.
Platforms
Azure / AWS / GCP / VMware / Kubernetes
Delivery
Terraform / ArgoCD / Helm / GitLab
Enterprise AI
APIM / AI Gateway / AI Foundry / Copilot Studio / Microsoft Fabric
Product stack
Next.js / React / Drizzle / BullMQ / Valkey / Cloudflare R2 / Polar
Lab AI stack
Agno agents / TaskIQ workers / Azure Document Intelligence / Mistral OCR / Voyage embeddings / ZeroEntropy reranking / pgvector
AI tooling
Codex / Claude Code / Gemini CLI
Ops & Data
Ansible / Mellanox / Redis / ZeroMQ / MinIO / Docker
Engineering
TypeScript / Python / Go / Astro
Observability
Prometheus / Grafana / Fluent-Bit / Azure Monitor
Selected Work
A quick look at recent case studies, experiments, and product work.