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Start with the problem, not a sales form.

A low-friction way to discuss an AI or data initiative that needs senior technical direction and delivery support.

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Where I can help

Good-fit AI and data work

Good-fit project types include RAG, AI agents and automation, data platforms and lakehouses, Microsoft Fabric, architecture reviews, and fractional AI/Data support.

Architecture and foundations

Clarifying technical direction, platform boundaries, and delivery-ready decisions.

Prototypes and POCs

Testing a focused technical hypothesis before broader implementation.

Active initiatives

Adding senior support to unblock a defined AI or data challenge.

Engagement models

Choose the engagement around the initiative.

Fixed-scope project

For a defined architecture or implementation outcome.

Contract support

For senior delivery capacity within an active team.

Fractional architecture

For ongoing technical direction across AI and data decisions.

Collaboration fit

Best suited to clear, collaborative work.

A strong fit starts with enterprise teams, consultancies, startups or scale-ups, and teams that need architecture plus hands-on implementation. It also needs a meaningful problem, non-sensitive context, and a practical interest in informed technical decisions. The goal is clarity on the initiative, its constraints, and the next useful step—not a generic sales process.

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Proof and background

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The featured technical case study is independent public work. The resume summarizes professional and enterprise experience. This site does not claim client outcomes, availability, pricing, or response commitments.

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