Thoughts on design, development, and building great products.
How I identified and resolved UX friction in a story creation flow by replacing blocking alerts, adding progress feedback, and instrumenting analytics for ongoing measurement.
How I removed signup friction, designed skill-tiered AI explanations, and built a secure serverless architecture to help developers understand unfamiliar codebases instantly.
How I scoped, designed, and shipped a conversion-focused website for a solo coach with no technical team, balancing stakeholder preferences against real audience behaviour.
How I used AI-generated personas to surface real patient pain points, validated design decisions through simulated usability testing, and built a maintainable healthcare tool under tight constraints.
A deep dive into the UX decisions, accessibility standards, and modern development practices used to build this personal portfolio.
Learn how Claude for Healthcare enables HIPAA-compliant AI workflows. Expert guide covering architecture, deployment, security controls, and real-world use cases.
Prompt engineering is becoming essential business literacy. Learn why mastering AI prompts matters for your career and how to develop this critical skill in 2025.
Discover how Physical AI LLMs are revolutionizing robotics in 2026. Practical implementation guide for SMEs, ethical frameworks, and real-world applications explained.
Model Context Protocol standardizes how AI agents connect to enterprise tools. Learn MCP implementation, security practices, and real-world business use cases.
Fine-tuned SLMs are replacing LLMs in enterprise AI. Learn deployment strategies, cost benchmarks, and why smaller models often outperform in 2026.
Discover the best prompt engineering tools for business teams in 2026. Learn security practices, collaboration workflows, and ready-to-use templates.
Discover which AI tools excel at creating carousels, reels, eBooks, email campaigns, UGC, and code. Includes workflows, prompt templates, and common pitfalls to avoid.
Learn operational prompt engineering with model-agnostic structures, copy-paste templates for coding/writing/data tasks, and testing frameworks that ship reliable LLM outputs.
Ready to work together?
