Brad Anthony / AI-Native Design Engineer
15+ years designing and engineering production web systems — now combining product thinking, interface design, frontend architecture and AI into intelligent digital experiences.
Available for selected embedded, fractional and AI-native product engagements.
Selected systems
Grounded search and evaluation infrastructure for a European tech team.
Website knowledge base agent that lets SDRs answer live prospect questions with grounded, up-to-date answers.
Litigation evidence agent that classifies, tags, and triages case documents to dramatically speed up review workflows.
End-to-end product build for a climate-monitoring startup — from schema to shipping.
Natural-language property matching that turns buyer demand into qualified leads and live market intelligence for agencies.
Matter-scoped legal AI workflow suite where every action belongs to a matter, every output is a cited draft, and nothing ships without attorney approval.
A portfolio that claims fluency across design, engineering and AI has to prove it in its own interface, not in a list of skills.
Capabilities
Select a layer to see what it touches. The value is not any single layer — it is moving between them without a handoff losing the intent.
The build system
The promise underneath every engagement: turning unclear problems into durable systems, then staying long enough to see what they reveal.
Interrogate the real problem, the constraints and who is affected before proposing anything.
Map the system: entities, flows, states, edges. Ambiguity gets structure here or nowhere.
Interface and information architecture, built on tokens and components rather than screens.
Typed, accessible, performant frontend architecture — production code, not a prototype.
Real devices, real content, real edge cases. Accessibility and performance are acceptance criteria.
Deploy with the boring parts handled: metadata, analytics, caching, rollback, documentation.
Instrumentation and search visibility so behaviour is measured instead of assumed.
Feed what the system reveals back into the model. Durable systems are iterated, not finished.
About
Several professional lives, all of them about systems. The pattern underneath — read the system, model it, make it usable — is what AI now multiplies.
Field ecology trains you to read systems you did not design: interdependence, feedback loops, and the difference between a symptom and a cause.
Long-form technical writing for players who needed to understand complex systems quickly. Structure, hierarchy and clarity, at volume.
Years of deliberate practice on fundamentals. It is the same instinct that makes design systems and typed architectures feel worth the effort.
Delivering production work across time zones and cultures, for teams that never shared a room.
Global fieldwork · 26 countries
Remote-first across six continents. Fifteen years of work in different time zones, different languages, and different definitions of ‘done’ — all of it in service of shipping durable web systems.
Stack
Technology is implementation detail. The durable skill is knowing what system should exist.
Interfaces that survive production.
Systems, not screens.
AI that changes the outcome.
Decisions grounded in evidence.
Systems that stay alive after launch.
Continuous learning
A running record of what I’ve been sharpening — automation, AI governance, prompt engineering, security, and the fundamentals that never stop mattering.
Robotic Process Automation Professional Certificate
SS&C Blue Prism · 2026
The Startup/SMB Guide to Integrating and Managing AI Agents
LinkedIn · 2026
Introduction to Conversational AI
LinkedIn · 2026
RPA in Action: Use Cases to Inspire
LinkedIn · 2026
Process Discovery for Robotic Process Automation
LinkedIn · 2026
RPA, AI, and Cognitive Tech for Leaders
LinkedIn · 2026
Intelligent Automation Foundations
LinkedIn · 2026
Process Mining for Robotic Process Automation
LinkedIn · 2026
Prompt Engineering
Codecademy · 2025
Prompt Engineering: Cloud Computing & IoT Hacking
Codecademy · 2025
Prompt Engineering: Web Application & Database Hacking
Codecademy · 2025
Generative AI for Scanning & Enumeration
Codecademy · 2025
Generative AI for Malware & Social Engineering
Codecademy · 2025
Generative AI for System Hacking
Codecademy · 2025
Ethical Hacking & Generative AI Fusion
Codecademy · 2025
Mobile Platform Security in the GenAI Era
Codecademy · 2025
Foundations of UX: Multidevice Design
LinkedIn · 2016
Foundations of UX: Accessibility
LinkedIn · 2016
Foundations of UX: Prototyping
LinkedIn · 2016
UX Design Techniques: Overview
LinkedIn · 2016
Foundations of Cybersecurity
LinkedIn · 2016
JavaScript I–III
Code School · 2015
MongoDB
Code School · 2015
SQL I–II
Code School · 2015
Engagement
For teams building or rebuilding an important digital surface.
I join as a single operator who can research, design, build and ship — removing the handoffs that usually slow the work down.
For companies turning AI capability into actual usable systems.
Interfaces, agents and automations grounded in real context, with clear boundaries on what the model is allowed to do.
For organisations needing senior ownership without another executive hire.
Architecture decisions, standards, vendor judgment and production accountability — at the depth the problem requires.
Contact
Tell me what you're building, what's stuck, or what you think could be better.
Or write directly: hello@bradanthony.co
