CARLOS DIEGO C. P.
PT-BREN-USES

R & D

Research &
Development

Research, development and technical advisory in Software Engineering, Distributed Systems, Cloud Computing and Data & Artificial Intelligence.

Research linesOngoing research
Carlos Diego, portrait

Software Engineering

Software Architecture

A branch of Software Engineering focused on designing, structuring and evolving complex systems to meet functional and non-functional requirements. It involves requirements analysis, defining architectural patterns (monolithic, microservices, serverless, event-driven) and choosing technologies aligned with the business, balancing cost, performance, security, usability and maintainability.

Architecture patterns · Architecture governance · Assessment and diagnosis of patterns.

Software Development Processes

Defining, implementing, monitoring and continuously improving the methodologies that guide software creation. From Waterfall to agile approaches (Scrum, Kanban, SAFe), adapted to the project, client and organizational culture, ensuring quality, efficiency and predictability.

Process assessment · Strategy and modeling · Maturity models.

Distributed Systems

Production-Ready Systems

Software is production-ready when it meets user demands: ease of use, reliability and availability. Agile teams validate usability through story acceptance and reliability through automated tests, maximizing availability with automated deployments and continuous delivery.

Readiness assessment · Gap analysis · Improvement plan and technical advisory.

SaaS Architecture

The Software-as-a-Service model brings new technical, operational and business considerations. The SaaS Enablement Framework offers a roadmap for developing, operating and launching SaaS offerings in the cloud, classifying best practices and design trade-offs.

Enablement assessment · Onboarding, building and managing SaaS · Metering, selling and billing.

Cloud Computing

Cloud Computing

An engineering approach to building cloud-native applications, made of microservices in containers — easier to update independently, with CI/CD.

Architecture assessment · Strategy and building of modern applications · Technical team structuring.

Cloud Capacity Planning

Capacity planning examines existing systems, measures performance and determines usage patterns to forecast demand for processor, memory, storage and network — and adjust that capacity over time.

Capacity assessment · Sizing strategy and modeling · Architectural classification and confidence index.

Data & Artificial Intelligence

Data

The raw material of digital transformation: from collection and ingestion to storage, processing, governance and consumption. Architectures such as Data Lakes, Data Warehouses and Lakehouses handle volume, variety and velocity, while quality, lineage, security and compliance practices make data trustworthy and traceable.

Data strategy and architecture · Data Engineering processes · Data governance.

Artificial Intelligence

A discipline that uses data, mathematical models and computing power to build systems that learn, infer patterns and support or automate decisions — from Machine Learning to generative models. Responsible use requires attention to data quality, bias, explainability and governance.

Synthetic-data architecture · Ethics, bias and trust in AI · Model enrichment.

Services

Workshops

Cloud adoption, in practice

Tailored workshops for enterprise clients focused on the successful adoption of native, trustworthy cloud architectures.

Talks

Corporate & academic

Computer Science (Software Engineering, Distributed Systems, Cloud, Data & AI) and Integrated Sciences (science, entrepreneurship, human development).

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