- Productised five AI automation playbooks for SMB clients: email triage, document processing, executive reporting, customer chatbot and meeting automation.
- Designed and built an AI/ML SaaS end to end: React and TypeScript front end, FastAPI microservices, PyTorch detection pipeline and a Chrome extension.
- CI/CD on GitHub Actions with a self-hosted runner that removes per-minute build costs, deploying front end and backend separately.

David Mengarelli
Cloud & DevOps Engineering Leader · AI InfrastructureSenior Cloud and DevOps professional with over 20 years of experience across enterprise IT, industrial systems, and modern cloud-native architectures, with current focus on the cloud foundations that power AI / LLM workloads, secure data planes, GPU-enabled compute and observability for inference pipelines. Deep expertise in Microsoft Azure, AWS, and hybrid environments. Proven track record leading cloud migrations, implementing CI/CD pipelines, and building secure, scalable infrastructure for Fortune 500 clients across healthcare, pharmaceutical, energy, and telecommunications sectors. Specializing in Infrastructure as Code (Terraform, ARM, CloudFormation), container orchestration (Kubernetes, Docker), and DevSecOps practices. Strong background in ICS/OT cybersecurity and compliance frameworks.
Run log
- Full build-out and maintenance of enterprise cloud infrastructure.
- Engineering of DevOps pipelines for a high-traffic messaging platform.
- Cloud resource optimization and automated disaster recovery strategies.
Formal training
Verifiable
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