Professional Overview
Senior AI solutions architect and automation consultant with 17+ years shipping products at HP, Rackspace, Phoenix Contact and BioNTech. I build working AI systems, not slide decks: LLM integration, agentic workflows, RAG, and MCP-based orchestration on AWS. Recent results: automated away a 3-year operations backlog at HP in 5 weeks (90% effort reduction), built the LLM tooling BioNTech's product management adopted while working with 35+ C-suite stakeholders, and cut staffing costs 70% plus infrastructure costs 30% at Phoenix Contact. Author of 7 open-source AI tools (~140K lines of code), including ForkCast, a multi-agent prediction engine with 16 evaluation gates. Currently fractional Business Unit Leader (EU) at Interas Labs and founder of DMello Advisory, where I run AI Workflow Sprints with a working-software guarantee: your team runs the tool the next morning, or you don't pay the final invoice. Python, TypeScript, AWS, Claude API, multi-agent systems. Remote, immediate start.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- AI Workflow Sprints: ship working automations teams own and run
- Working-Software Guarantee: tool runs next morning or no final invoice
- Delivered 6 REPOSITION workshops and a voice-AI tender response
- Built a 124-company NRW lead engine with ~200-lead CRM
- Client work under NDA: multi-modal retrieval, MCP servers, chatbot
Key Achievements / KPIs
- Shipped 7 open source AI tools, ~140K+ lines
- Offer ladder live: Diagnosis, Audits, Company Day, Build Sprint
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Fractional contract: product, architecture and delivery lead, AI on AWS
- Own architectural, product and delivery decisions from PRD to first release
- Established PM practice: traceability, test evidence, acceptance audits
- Authored go-to-market materials: offer structure, pricing, positioning
- Championing Claude adoption: integration, advocacy, team upskilling
Key Achievements / KPIs
- Requirements traceability practice adopted across all platform repos
- Product, architecture and delivery ownership from PRD to first release
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built an LLM helper app for product management in a single day
- Partnered with 35+ C-suite stakeholders on AI opportunity mapping
- Cut stakeholder effort by 10 hours/month via strategic initiative
- Set up the product practice within the Data and Analytics group
Key Achievements / KPIs
- Single-day LLM prototype triggered org-wide AI adoption
- 35+ C-suite stakeholders aligned on measurable outcomes
Areas of Expertise
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
AI Business, Marketing & Strategy
Apply AI to marketing automation, content generation, customer segmentation, and revenue growth strategies.
