Quantitative indicators remain off this page until documented validation. The narrative focuses on the problem, solution and technologies used.
Intelligent SDLC automation with generative AI
The Eugênia platform was designed natively on AWS to automate critical stages of the software development lifecycle.
Delays, rework and low consistency across squads when creating stories, documentation and tests.
LLMs on Amazon Bedrock, microservices on ECS Fargate, RAG on S3 and operational data on Aurora PostgreSQL.
Critical operations automation in NOC and BOC
A generative AI solution automated team mobilization for critical operations-center events.
Manual activation took around 30 minutes and increased operational risk.
Bedrock, Lambda, S3 and real-time Microsoft Teams integration for triage and mobilization.
Scalability and resilience in online education
Infrastructure modernization to handle access spikes and sustain a continuous learning experience.
Rapid student-base growth, access peaks and high-availability requirements.
Kubernetes on EKS, observability with Prometheus and Grafana, and automated backups with Velero.
Well-Architected and security for embedded finance
A full assessment to optimize cost and improve compliance, security and resilience for the financial platform.
Strict security standards and the need to control infrastructure operating cost.
Analysis of the six AWS pillars, tag policies, disaster recovery and reservation strategy.
Platform modernization and Ruby CI/CD
On-premise-to-AWS migration and delivery pipeline automation for the pricing platform.
Manual updates created downtime and deployment error risk.
Well-Architected-led migration and automated pipelines with simplified rollback.
These scenarios come from the Donna AI POC process and are not presented as completed case studies.
Ticket correlation, consolidated incidents, War Room and StatusPage from ServiceNow and observability integrations.
Crisis-flow automation, knowledge base, stakeholder communication and defined escalation.