Cloud architecture
A focused review or implementation track for production cloud environments that need clearer boundaries, security controls and operating decisions.
Explore the service →I help clinical and data-sensitive product teams design, build and operate cloud infrastructure, delivery systems and production GenAI workflows.
Cloud foundation
IAM · network · encryption
Delivery path
IaC · CI/CD · rollback
AI workflow
retrieval · models · evaluation
Operate
logs · traces · runbooks
Domain
Clinical & regulated software
Credentials
AWS Solutions Architect — Associate
Collaboration
Italy · Remote · English / Italian
The highest-risk decisions often sit between architecture, delivery and operations. These three offers keep that boundary explicit and operable.
A focused review or implementation track for production cloud environments that need clearer boundaries, security controls and operating decisions.
Explore the service →Hands-on delivery systems, infrastructure automation and operational practices for teams moving beyond manual or fragile production changes.
Explore the service →Production-oriented GenAI systems where data flow, access control, evaluation, auditability and operations matter as much as the model call.
Explore the service →Selected work
AI & Platform Engineering
Anonymized production platform work for AI-assisted clinical research workflows across cloud, backend and operations.
Outcome
Established an operable production environment spanning cloud architecture, application delivery and managed-model workflows.
Regulated Software Delivery
Private full-stack and DevOps work on a production clinical-study platform with access control and traceability requirements.
Outcome
Strengthened the connection between application delivery, traceability and day-to-day production support.
About
I am Alessandro Lo Guzzo, an AWS-certified cloud architect and engineer based in Italy. My recent work is concentrated in clinical research and AI-enabled software, where access control, auditability and production support are part of the system—not later additions.
2025 — present
Cloud architecture, production operations and GenAI workflows for an AI-native clinical research platform.
2024 — 2025
Cloud-native clinical software, event-driven services, secure delivery and production reliability.
2022 — 2024
AWS and Azure foundations, containers, CI/CD, Infrastructure as Code, backend services and international support.
I can review the current state, define a practical scope and either implement the work directly or help your team move it forward.
Discuss your system