Adobe Summit · Agentic AI
Adobe Summit discussion on agentic AI and enterprise adoption.
View LinkedIn postApplied AI Architect and hands-on builder with 15+ years across customer-facing technical roles in EMEA. I help enterprise organisations move from AI experimentation to production deployment across Adobe Experience Platform, agentic AI, MCP, A2A, prompt engineering, MLOps, and cloud-native delivery.
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Applied AI Architect and hands-on builder with 15+ years in customer-facing technical roles across EMEA, embedding with enterprise engineering teams to move from AI prototypes to production. Daily power user of Claude Code and the Claude developer platform; ships code, builds MCP servers, sub-agents and evaluation frameworks, and helps redesign SDLC around AI-native development covering code review, testing, CI/CD and governance.
Signal that matters to hiring teams.
Enterprise AI strategy, reference architectures, agent design, MCP and A2A integration, and production-ready deployment patterns.
Hands-on coding, evaluation frameworks, prompt/context engineering, CI/CD, governance, and developer workflow redesign.
Presales, partner GTM, workshops, executive storytelling, and cross-functional leadership that moves customers from strategy to adoption.
How I work with AI-native development tools day to day.
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LinkedIn posts that show external presence and point of view.
Adobe Summit discussion on agentic AI and enterprise adoption.
View LinkedIn postHow AI reshapes the relationship between business and technology leadership.
View LinkedIn postAI, HR strategy, people operations, and the evolving workplace.
View LinkedIn postPerspective on how to build great products in the age of AI.
View LinkedIn postTimeline of scope and progression.
Cards can be opened and scanned quickly.
Tailored demonstrations, customer solution development, cross-functional liaison, demo reporting, and personalisation strategy.
Client technical requirement scoping and solution shaping for sales-led engagements.
Enterprise solution architecture, project scoping and sizing, SOW creation, and custom implementation design.
Tools used shown directly with each project.
AI-native fashion and textile studio turning prompts and sketches into patterns, renders, lookbooks, and campaign films.
Requirements-to-product workspace for coding agents that helps teams design systems, databases, and APIs faster.
YouTube content operating system for campaign ideas, scripting, thumbnails, editing, and publishing in one place.
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Advanced capstone covering end-to-end ML workflows, model optimisation, and applied AI delivery.