AndreiAvelino

Lead a 4-person engineering team in defining the architecture of scalable cloud systems and end-to-end full stack development.

Deliver mission-critical, high-availability systems for the hospital sector with Kubernetes, Quarkus, Spring Boot and Next.js, supporting 3 hospitals/users in production.

Structured the end-to-end cycle, from requirements gathering to continuous delivery, reducing delivery lead time by 75%.

Implemented automated multichannel messaging (WhatsApp, SMS and email) that processes 240,401 messages/month with an 87% delivery rate.

Increased platform resilience, reaching 99% availability (SLA) and reducing production incidents by 85%.

Led the architecture and design of artificial intelligence products, taking 3 products from concept to launch.

Delivered computer vision solutions with YOLO and TensorFlow integrated with Java/Quarkus backends, reaching 86% accuracy in PPE (personal protective equipment) detection.

Optimized development processes and data modeling.

Developed high-load Java applications on Cloud/Quarkus with persistence in OracleDB and Hibernate.

Implemented observability in Kubernetes clusters (OpenTelemetry, Grafana, Docker), reducing mean time to detect incidents (MTTD) by 90%.

Developed backend services in Java and structured the build and deployment infrastructure, reducing deployment time by 78%.

Deployed metrics monitoring across Kubernetes clusters, providing visibility into 45 services.

Configured observability with OpenTelemetry and Grafana, improving incident response time by 84%.

Worked as a full stack developer (Java 8/6 and Angular) on the Bradesco project, maintaining mission-critical legacy systems in production.

Technically led the migration and modernization of a legacy system to a new platform, reducing [bugs/maintenance time] by 69%.