I'm Dwayne D'mello, an AI, cloud, and automation engineer focused on scalable architecture, intelligent workflows, and practical optimisation across AWS, Azure, and Google Cloud.
My work sits at the intersection of AI, cloud architecture, and automation. I like solving problems where engineering quality, operational efficiency, and business impact need to work together.
I'm an AI, cloud, and automation engineer based in Berlin. I help companies design scalable systems, automate repetitive work, and build smarter infrastructure that performs well and stays cost-aware.
My background spans AWS, Azure, and Google Cloud, with hands-on work in cloud architecture, optimisation, governance, and technical delivery across production environments.
I also bring experience in AI/ML, automation, and data analysis, which helps when teams need more than static dashboards and want systems that can adapt, scale, and create measurable outcomes.
Available for engineering conversations, architecture reviews, and optimisation work.
Intelligent systems, cloud platforms, automation workflows, and scalable technical delivery.
M.S. in Sustainability and Automation, plus an engineering foundation.
I prefer measurable outcomes, clean communication, and work that translates into action.
A compact view of the technical areas where I build, optimise, and deliver the most value.
Architecture, deployment, and optimisation across the three major cloud providers.
Cloud architecture, optimisation, platform governance, cost-aware design, and AI-enabled technical problem solving.
Using Python, analytics, APIs, and workflow logic to turn ideas and insights into reliable execution.
A few examples of the kinds of problems I like solving across cloud optimisation, AI-driven systems, workflow automation, and real-time operational visibility.
Led targeted optimisation campaigns focused on right-sizing, policy enforcement, and better resource allocation. The work produced measurable savings while improving visibility and governance.
Designed and delivered hands-on training sessions to help teams improve cloud adoption, architecture decisions, and FinOps maturity.
Built and supported AI/ML solutions for renewable energy forecasting, with serverless execution and performance-oriented testing.
Designed an automation system using n8n and AI agents to streamline internal workflows, reduce manual work, and give teams real-time visibility into key updates and process changes.
A focused view of recent roles across FinOps, cloud optimisation, and AI-enabled delivery.
Professional credentials that support the multi-cloud and FinOps work I do day to day.
Issued March 2025. Covers production-grade architecture design across Google Cloud.
Issued December 2024. Advanced architecture certification for enterprise-scale AWS design.
Issued July 2024. Focused on secure, scalable, and governed Azure environments.
Industry-standard certification covering cloud financial management practices.
Focused on FinOps Open Cost and Usage Specification and cost data interpretation.
Supports practical optimisation conversations around automated cloud efficiency.
If you're working on AI, cloud architecture, automation, or cost-aware systems, I'd be glad to connect.
Open to engineering conversations, collaborations, and new technical opportunities.