Applied AI study
Current MSc artificial-intelligence dissertation work, including hands-on neural-network development and model evaluation.
About DG Workflow
Founder-led AI-enabled workflow improvement for small businesses.
DG Workflow is a pre-launch business project focused on practical AI, automation, website, data, and workflow improvements for small private-sector businesses. The emphasis is clear: turn messy inputs into clearer actions, keep people reviewing important outputs, and use technology only where it improves the work.
Technical grounding
AI skill, used for practical outcomes.
The public website stays low-hype, but the capability behind it includes AI, automation, data handling, APIs, cloud platforms, and modern web delivery.
ML, NLP, LLMs, and agents
Practical grounding in machine learning, natural-language processing, large language models, agentic workflows, and API-based AI platforms.
Automation and software build
Experience turning structured requirements into working websites, lightweight apps, data flows, integrations, and repeatable handover notes.
Cloud-aware delivery
Experience across AWS and Azure, current use of Cloudflare, and lighter exposure to Google Cloud and Vercel where they fit the job.
Operating principles
Practical, careful, and clear.
Start with one visible workflow problem, not a broad transformation promise.
Use AI where it creates useful structure, review, drafting, or decision support.
Keep public examples synthetic until real client permission and evidence exist.
Explain limits, assumptions, data handling, and ownership in plain English.
Trust before scale
The site stays explicit about pre-launch status, synthetic demos, data handling, and no active payment checkout. That trust posture matters more than publishing lots of shallow content.
Read the privacy notice ->Built around useful first steps
The first useful conversation is about one workflow: what information comes in, what needs to happen next, what data is involved, and what improvement would make the work easier to run.
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