Portugal
I design and scale systems where performance, reliability, and real-world constraints matter. My background spans Solutions Engineering, distributed systems, and cloud-native architectures used in mission-critical environments. I’ve spent years working at the intersection of technical depth and business outcomes — leading discovery, shaping solution designs, running PoCs, and guiding complex technical evaluations. More recently, my work has expanded into Applied AI and AI-native systems, focusing on low-latency workflows, LLM orchestration, and real-time interaction design. I’m particularly interested in how AI systems behave under production constraints: latency, state management, failure modes, and scalability. I bring a hybrid perspective combining: • Systems & architecture thinking • Applied AI & LLM workflows • Technical discovery & solution consulting • Distributed systems & performance reasoning • Clear technical communication Focus areas: • Applied AI & AI-native workflows • Low-latency / real-time systems • Solutions Engineering & Architecture • Distributed & cloud-native platforms • APIs, integrations & platform design
Principal AI Presales Engineer at ActionAI. I help enterprises move from AI experiments to AI operations. Working across finance, audit, and operations in the UAE and EU, I take ownership of the full pre-production arc: discovery, scoping, workflow and integration design, pilot delivery, and the handoff into live deployment. Along the way I am also shaping how we deliver, codifying the methods, tooling, and patterns that make AI agents reliable enough for enterprise infrastructure.
Building AI-native voice systems designed for low-latency, real-time human interaction. • Architected a latency-sensitive voice pipeline integrating telephony, ASR, and LLM systems • Designed streaming and asynchronous workflows to optimise conversational response times • Developed context and state management logic for multi-turn AI interactions • Implemented tool-use and API orchestration enabling real-world task execution • Built diagnostics and monitoring for latency, failures, and system behaviour • Focused on reliability, turn-taking performance, and production-grade conversational flows
Co-founded a technology consultancy focused on distributed systems, cloud-native platforms, and data-intensive architectures. • Led technical discovery, solution architecture, and platform design across complex customer environments • Designed integration-oriented systems connecting databases, streaming platforms, and cloud infrastructure • Advised clients on scalability, reliability, latency, and cost-performance trade-offs • Built automation and operational tooling using Kubernetes, Terraform, and modern cloud-native practices • Supported migrations, performance diagnostics, and architectural redesign initiatives • Acted as a trusted technical partner bridging business requirements with engineering execution Focus areas included distributed data platforms, cloud-native architectures, platform reliability, and performance optimisation.
• Owned technical sales cycles for high-scale streaming and gaming customers • Led PoCs, architecture reviews, and executive technical workshops driving adoption • Developed deployment and troubleshooting standards improving time-to-production and reliability
• Guided enterprise customers through onboarding, migrations, and operational best practices • Acted as escalation lead for performance and availability issues in production environments • Partnered with Product and Engineering to close technical gaps impacting customer outcomes
• Delivered end-to-end PoCs and migrations for Forbes 500 customers (SK Telecom, SK Hynix, LG Uplus) • Led Hadoop modernization programs and accelerated analytics adoption • Worked across QA, automation, and customer teams to unblock production rollouts
• Ran discovery, solution design, and technical validation for LATAM enterprise accounts • Supported proposals, demos, and stakeholder alignment through the full sales cycle
• Supported performance-critical analytics deployments and customer-facing technical delivery • Contributed to operational stability, tuning, and scalable production execution