Experience

Technical support grounded in systems work.

Cloud configuration, physical infrastructure, and model evaluation have built the same core habits: inspect evidence, isolate failure, explain the trade-off, and leave the system easier to operate.

Mar 2026 Aug 2026 Dublin, Ireland

Amazon Web Services

Support Engineer Intern - Deployment

Six-month internship completed in August 2026: structured cloud, deployment, and customer-facing technical training across core AWS services and solution workflows, working with teams across EMEA and the Americas.

  • Completed training across compute, storage, IAM, networking, serverless, databases, security, governance, pricing, and shared-responsibility concepts.
  • Applied configuration and troubleshooting methods in hands-on scenarios, translating findings into clear guidance for technical discussions and demonstrations.
  • Developed working knowledge of Amazon Q Business, Amazon Q Developer, and natural-language analytics workflows in Amazon Q for QuickSight.
  • Modelled repeatable infrastructure and architecture concepts using CDK and CloudFormation.

SafeZone - internship group prototype

Owned platform and frontend integration for a five-person crisis-response prototype: React routing and responsive navigation, shared API coordination, the authentication platform boundary, static delivery workstream, and the architecture and AI-trust presentation narrative.

Jun 2025 Sep 2025 Triggiano, Italy

Evolumia S.r.l.

IT Technician - Server and NAS Maintenance

Hands-on maintenance and troubleshooting for physical server and storage infrastructure across client sites.

  • Maintained and troubleshot more than 20 physical servers and NAS systems.
  • Replaced and diagnosed RAM, disks, power supplies, and network interfaces.
  • Reduced downtime by 30% through proactive SMART monitoring, RAID health checks, and automated log analysis.
  • Supported backup and disaster-recovery practices for local infrastructure.
Sep 2024 May 2025 Remote, Ireland

Outlier AI

AI Reviewer

Evaluation of model outputs against detailed quality and policy criteria.

  • Assessed AI-generated content for factual accuracy, coherence, tone, and policy compliance using structured rubrics and benchmarks.
  • Provided evidence-based feedback that identified inconsistencies and improved training and evaluation data quality.
  • Worked across technical writing, reasoning, and code-review tasks while separating confident answers from unsupported claims.

Applied engineering

Experience extended through project ownership

01

Cloud deployment and observability

Owned the data, observability, and Azure Kubernetes Service deployment work for a university IoT traffic pipeline, including Kustomize overlays, image automation, Loki and Grafana, and two cloud-only defect fixes.

02

Private platform operations

Operate a TrueNAS SCALE platform with redundant ZFS storage, snapshots, health diagnostics, private networking, container services, and documented recovery procedures.

03

Product and architecture delivery

Build local-first products and group prototypes that make consent, fallback, review state, API contracts, and human escalation visible in the design.

Selected work

Explore the systems behind the experience.

View projects