bruno@cabado:~$ cat experience/deus.md
DEUS
- AI
- GenAI
- RAG
- Data Engineering
AI Engineering and Data Engineering work focused on LLM/RAG systems, autonomous agents, and production-grade data workflows for enterprise clients.
At DEUS, I work at the intersection of applied GenAI and data engineering, helping enterprise teams move from pilots to production. My focus is on designing robust LLM systems, integrating external tools through MCP, and building the data foundations needed for reliable AI products.
My work spans end-to-end delivery: from retrieval architecture and agent design to data-layer modeling and quality controls. The goal is always the same: practical solutions with clear business impact, low operational friction, and production-ready reliability.
## Technologies
Python
LangGraph
LangChain
Langfuse
Docker
Git
SQL
Spark
Azure
AzureAI
Databricks
Fabric
Data Factory
Cosmos DB
OpenAI
Claude
MCP
Ollama
Pre-commit
Gemini
## Key achievements
- Architected RAG and autonomous agent solutions using MCP to integrate enterprise tools and compliance-oriented workflows.
- Reduced query latency by up to 80% in complex retrieval pipelines through optimized vector search and agentic orchestration.
- Delivered a high-throughput compliance chatbot with scalable batching patterns for peak demand scenarios.
- Built medallion-style data layers (Bronze/Silver/Gold) and enforced data quality checks across ingestion and transformation stages.
- Established CI quality gates with linting and best-practice checks to improve reliability and maintainability.
bruno@cabado:~$ mail hi@brunocabado.com# I share work, research and product experiments in AI systems
$ send-message$ wget cv.pdf$ open linkedin$ open github
© 2026 Bruno Cabado · designed & developed in Galicia with Astro