Ways to Work ATL-Trust Hackathons About Recommendations (38) Blog ↗
AI Systems Engineer · Voxstar Ltd, UK

Turn AI Into
Working Business Systems

I help businesses identify where AI can create measurable value, then design, build, test and govern the systems that turn those opportunities into working solutions.

🛡️ 40+ years of engineering, development, testing, automation and enterprise technology experience — now applied to AI.
40+
Years of engineering, dev, testing & enterprise tech
End-to-End
Opportunity → Architecture → Build → Governance
Production
AI systems engineered for real-world reliability
AI Systems Engineer AI Engineering AI Automation AI Agents AI Testing & DeepEval AI Governance AI Security & ATL-Trust AI Search Visibility / GEO Model Context Protocol (MCP) Enterprise Architecture AI Systems Engineer AI Engineering AI Automation AI Agents AI Testing & DeepEval AI Governance AI Security & ATL-Trust AI Search Visibility / GEO Model Context Protocol (MCP) Enterprise Architecture
The AI Systems Engineering Lifecycle Opportunity to Production
🎯 AI Opportunity 🏛️ Architecture 💻 Build ⚙️ Automation 🧪 Testing & Eval 🛡️ Governance & Security 🚀 Deployment
Core Value Proposition

Turn AI Into
Working Business Systems.

I help businesses identify where AI can create measurable value, then design, build, test and govern the systems that turn those opportunities into working solutions.

📈
Increase Revenue

Generate, qualify and convert more opportunities using AI.

Reduce Costs

Automate repetitive or expensive processes.

⏱️
Save Time

Turn slow manual workflows into intelligent systems.

🛡️
Reduce Risk

Test, evaluate, govern and secure AI before it creates expensive problems.

01 / Real-World Challenges

Solving Problems
Businesses Actually Face.

AI success isn't about experimenting with disconnected tools. It's about engineering solutions around specific operational constraints and business outcomes.

"We don't know where AI could create value."
AI Opportunity Assessment

Identify and prioritise the highest-value AI opportunities before investing heavily in implementation.

Opportunity Map Process Analysis ROI Priority
Find My AI Opportunities →
"Our team spends too much time on repetitive work."
AI Systems & Automation

Identify repetitive processes and turn appropriate parts into intelligent automated workflows.

Fewer Manual Hours Faster Processing Fewer Errors Lower Operating Costs
Find a Process to Automate →
"We want to build AI agents."
AI Agent Engineering

Design and implement AI agents that can interact with customers, information, tools and business systems — engineered with robust testing, evaluation, permissions, governance, security, and monitoring.

Autonomous Agents Tool Calling & MCP Security & Permissions
Discuss My AI System ↗
"We already have AI — can we trust it?"
AI Testing & Governance Review

Assess AI systems and agents for reliability, behaviour, evaluation, edge cases, security, governance, permissions, and production readiness. Backed by 10+ years of software testing leadership.

10+ Yrs QA Leadership DeepEval QA Edge Cases & Safety
Review My AI System ↗
"We want customers to find us through AI."
AI Search Visibility / GEO

Help organisations improve how AI systems understand, discover and represent their business across AI answer engines.

Greater AI Visibility Brand Representation Discoverability
Improve My AI Visibility ↗
02 / Engagement Models

Three Ways to Work
With Gene.

A clear, structured path from low-risk strategic assessment to rapid solution implementation and high-level production governance review.

Engagement 01
AI Opportunity Assessment
Find Where AI Can Create the Most Value

A focused assessment of your business processes, operational bottlenecks, and technology stack to uncover high-impact, low-risk AI opportunities.

Key Deliverables:
  • AI opportunity map for your business
  • Operational process & bottleneck analysis
  • Priority ranking by ROI and feasibility
  • Potential time & cost savings analysis
  • Revenue growth opportunities
  • Risk & compliance considerations
  • Technology & model recommendations
  • Step-by-step implementation roadmap
Find My AI Opportunities →
Engagement 02 · Core Sprint
AI Systems & Automation Sprint
Turn One Valuable Opportunity Into a Working System

A focused, end-to-end implementation around one high-priority business problem — taking you from design through build, testing, and live deployment.

Possible Applications & Delivery Model:
  • Workflow automation & system orchestration
  • Autonomous AI agents with tool calling
  • Lead qualification & customer interaction
  • Document processing & internal intelligence
  • CRM automation & enterprise API integrations
  • Delivery Model: Identify → Design → Build → Test → Deploy → Measure
Build My AI Solution →
Engagement 03 · Strategic QA
AI Testing & Governance Review
Is Your AI Ready for Production?

A rigorous architectural and quality evaluation of an existing AI system, agent, or workflow to eliminate hallucinations, prevent excessive agency, and secure data.

Review & Evaluation Scope:
  • System reliability & hallucination auditing
  • AI behavior under adversarial conditions
  • DeepEval automated testing coverage
  • Evaluation pipelines & regression benchmarks
  • Security, permission & data privacy controls
  • AI governance & agent guardrails
  • Production readiness scorecard & remediation
Review My AI System →
03 / Transformation

From AI Uncertainty
To Governed Performance.

Turning fragile experiments and manual chaos into tested, governed, high-leverage business systems.

AI idea / vague interest
Working business AI system
Slow manual process
Intelligent automated workflow
Fragile AI prototype
Tested production system
Uncontrolled autonomous agent
Governed, verifiable agent
Disconnected AI experiment
Enterprise AI capability
Unknown AI opportunity
Prioritised AI roadmap & ROI
Specialist Differentiator

More Than a Decade of
Testing Experience.

I've spent more than 10 years working in software testing and quality engineering. AI changes the software development model, but one principle remains: Software still needs to be tested.

AI systems introduce unique failure modes that traditional code never had:
⚠️ Non-Deterministic Behaviour
Outputs vary across runs; requiring probabilistic evaluations and strict assertions.
🎭 Hallucination
Models inventing facts; verified using DeepEval faithfulness and source attribution metrics.
🛡️ Prompt Injection
Adversarial payloads hijacking model instructions; defended via runtime safety filters.
🤖 Unexpected Agent Behaviour
Agents taking unapproved paths or looping endlessly; controlled by execution bounds.
🔧 Incorrect Tool Use
Calling unintended APIs or passing malformed parameters; validated with schema QA.
🔒 Data Leakage
Sensitive context leaking into external foundation models or client responses.
🎯 Edge Cases
Adversarial user inputs, multimodal surprises, and boundary conditions.
🔄 Regression
Model updates or prompt tweaks silently degrading performance in production.
⚖️ Safety & Governance
Compliance with enterprise policies and institutional risk management boundaries.
Positioning QA & testing as the foundational prerequisite for enterprise AI deployment.
Review My AI System →
04 / Proven Capability

Engineered & Scaled.
Built in the Real World.

Each venture demonstrates hands-on systems engineering — from AI automation infrastructure and voice agents to wellness platforms and safety tooling.

05 / Strategic Technology Initiative

ATL-Trust
The Control Layer for Autonomous AI.

As AI moves from answering questions to taking actions, organisations need to control what AI is allowed to do. ATL-Trust explores a control layer between AI intent and real-world execution.

Strategic AI Governance & Security
"The question isn't only 'Can AI do this?'
It's 'Should AI be allowed to do this?'"
🤖 AI Agent 💡 Intent / Decision 🔍 Validation 📜 Policy Check 🔑 Authorisation ⚡ Execution 📋 Audit Log
Zero-Trust Agent Architecture Generative Engine Optimization (GEO) Hardware Attestation & Security NIST-Aligned AI Safety Audits Automated AI Evaluation Eliminating Excessive Agency Risks Zero-Trust Agent Architecture Generative Engine Optimization (GEO) Hardware Attestation & Security NIST-Aligned AI Safety Audits Automated AI Evaluation Eliminating Excessive Agency Risks
Enterprise Architecture & IP Solutions

We design, build, test, and govern AI systems engineered specifically for enterprise compliance, risk management, and mission-critical production environments.

Strategic IP & Governance
🛡️
ATL-Trust™ Integration

Ensure your AI agents and autonomous systems operate safely within strict institutional compliance parameters. The ATL-Trust circuit-breaker framework monitors, governs, and validates non-deterministic behaviours directly in your infrastructure.

  • Complete NIST-aligned AI Safety Audit of your autonomous pipelines
  • Full implementation of the ATL-Trust zero-trust validation layer
  • Custom execution guardrails built for your enterprise risk profile
  • Hardware-attested cryptographic identity verification for sub-agents
Review ATL-Trust Logic →
AI Search Visibility
🔍
Generative Engine Optimization (GEO)

Ensure your company is understood, cited, and accurately represented when prospective clients, executives, and buyers ask ChatGPT, Perplexity, Claude, and Gemini.

  • Direct bot-invitation gateways configured for ChatGPT, Perplexity, and Claude
  • Semantic HTML restructuring tailored to LLM extraction parsers
  • Comprehensive site mapping and index forcing for AI agents
  • High-assurance entity and brand optimization for AI search engine answers
Improve My AI Visibility →
Proven Systems · Proprietary Technology Initiatives

Unlike commentators who only discuss AI theory, Gene natively engineers, scales, tests, and secures production platforms. We consult using the same rigorous architecture we build in production.

🛡️
ATL-Trust™

A hardware-attested zero-trust control layer designed to intercept, validate, and govern autonomous agent intents prior to real-world execution.

atl-trust.com →
🎧
WiredVibeApp Enterprise

Proprietary AI cognitive optimisation platform. Delivers bio-adaptive audio entrainment to reduce fatigue across high-performance engineering teams.

wiredvibeapp.com →
🤖
AIToolboard Intelligence

Globally scaled AI directory and adoption intelligence platform, tracking commercial tools, workflows, and autonomous system architectures.

aitoolboard.com →
GD
AI Systems Engineer · Gene Da Rocha MSc, BSc (Hons)
"I don't just build AI features. I design AI systems that need to work in the real world — with real customers, real processes, real data and real business consequences."
High-stakes systems engineering across
Automotive · Volvo FinTech · Deutsche Bank Enterprise Software · SAP 40+ years experience
06 / Technical Stack

The Engineering
Behind the Results.

What makes AI work reliably in production is the engineering discipline underneath — spanning architecture, agents, testing, governance, and full-stack development.

💻
AI Systems & Development
Full-stack software engineering backed by four decades of enterprise development at Volvo, Deutsche Bank, and SAP. Production-ready, resilient, scalable.
PythonTypeScriptNext.jsNode.jsFastAPIREST / GraphQL
🤖
AI Agents & Model Context Protocol
Designing autonomous agent workflows, tool calling, MCP server architectures, and connecting foundation models directly to proprietary databases.
MCP ServersClaude APIGPT-4oGeminiTool CallingLangChain
🧪
AI Testing & DeepEval QA
Principal-level test architecture. Automated DeepEval evaluation pipelines measuring Faithfulness, Answer Relevancy, Precision, and agent trajectory QA in CI/CD.
DeepEvalPlaywrightPyTestCI/CD AutomationRegression QA
🛡️
AI Governance & Security
Zero-trust agent architecture, execution circuit-breakers (ATL-Trust™), hardware attestation, eliminating excessive agency, and NIST AI risk management.
ATL-Trust™NIST AI RMFExecution GuardrailsZero-TrustAgent Permissions
⚙️
AI Automation & Orchestration
Intelligent multi-step workflow orchestration, automated intake-to-fulfillment pipelines, and webhook data syncs that run continuously without manual supervision.
n8nMakeAirtableOAuth2Enterprise Connectors
💬
Voice & Conversational AI
Low-latency real-time voice agents and multi-channel conversational bots deployed for customer support, lead qualification, and inbound triage.
Retell AIVoiceflowWebSocketsClaude HaikuCRM Integrations
✍️
Prompt Engineering & Red-Teaming
Structured systemic prompting architectures, prompt injection detection (PromptGuardian), adversarial red-teaming, and model behavior validation.
PromptGuardianRed-TeamingAdversarial QAStructured Outputs
🔍
AI Search Visibility & GEO
Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO). Structuring data and schema to ensure accurate representation across LLMs.
GEOSchema.orgLLM IndexingSemantic HTMLTechnical SEO
07 / Writing & Publications

AI Intelligence Review
Published every Friday.

Practitioner-led AI analysis, agent architectures, systems engineering breakdowns, and lessons from building scalable production AI platforms.

Join the list
Friday intelligence,
straight to your inbox.
No fluff, no affiliate links. Just the AI systems, testing frameworks, and automation pipelines I'm actually building.
08 / Hackathons

Built under
pressure. Shipped.

Two hackathon projects involving genuine invention. One filed for a UK patent. Both working, live, and publicly verifiable.

Neuro-Sync Live — Brain circuit illustration
🏆 Google Gemini 3 Hackathon · 2025
Neuro-Sync Live
Bio-Adaptive AI Audio Entrainment · PWA
🔒 Patent Pending · UK
"What if your music player could see how you feel and adapt in real-time?"

In a world of constant distraction, existing focus apps play the same "Focus Beats" whether you're stressed, tired, or hyper-alert. Neuro-Sync Live is a Living System — a privacy-first AI that reads your bio-feedback via webcam and dynamically tunes your brainwaves using scientifically proven binaural beats. Stressed → 10Hz Alpha to calm you. Tired → 40Hz Gamma to wake you up.

☁️ Cloud Mode
Gemini 1.5 Flash — deep multimodal analysis of your vibe & environment via Vercel Edge Functions
🔒 Local Mode
Gemma 2B (Quantized) on WebGPU — full LLM running offline in your browser, zero server calls
🎵 Audio Engine
Custom TypeScript engine · Web Audio API · raw oscillators · L: 200Hz / R: 210Hz = 10Hz Beat
🧠 Neuro-Entrainment
Alpha (calm) · Theta (creative) · Gamma (alert) — shifts within seconds of expression change
What's next
🧠
EEG Integration
Muse & Neurosity headband support for true hardware bio-feedback
👤
Personal Ghost
Fine-tuned Gemma on your specific facial cues — a model that knows only you
🥽
VR Port
Meta Quest & Apple Vision Pro — immersive neuro-meditation environments
Next.js 14 Gemini 1.5 Flash Gemma 2B / WebGPU MediaPipe Web Audio API Tailwind v4 Framer Motion Vercel Edge TypeScript
🛠️ Hackathon · AI Safety
PromptGuardian
LLM Prompt Injection Detection
🛡️

A real proof-of-concept for applied AI safety — detecting prompt injection attacks against large language models. The class of vulnerability that lets adversarial inputs hijack model behaviour entirely. Built because the problem is critical, production-relevant, and under-addressed in the industry.

Python LLM Safety Prompt Injection Proprietary IP
09 / 40+ Years Experience

AI Engineering Backed by
40+ Years of Experience.

MSc, BSc Hons Computer Science · University of Hertfordshire. Four decades across systems development, testing, automation, and enterprise technology — now applied to AI.

Gene Da Rocha
GD
Gene Da Rocha
MSc, BSc (Hons) · AI Systems Engineer
Founder · Voxstar Ltd
📍 High Wycombe, UK
Profile photo loaded from profile.jpg
"I don't just build AI features. I design AI systems that need to work in the real world."

I've spent more than four decades working across software development, testing, automation, enterprise systems, and digital transformation. Today I apply that rigorous engineering discipline directly to AI.

I don't just experiment with AI tools. I design systems that need to work in the real world — with real customers, real processes, real data, and real business consequences. Across four decades I've delivered systems in high-stakes environments including Volvo's automotive platforms, Deutsche Bank's FinTech infrastructure, and SAP's enterprise software.

Whether identifying where AI creates the highest return, engineering autonomous agent workflows, testing models against hallucinations, or introducing zero-trust governance through ATL-Trust — every solution is built for resilience, compliance, and measurable commercial value.

🎓
Education
MSc & BSc Hons Computer Science — Univ. of Hertfordshire
⏱️
Experience
40+ years — Engineering, Development, Testing & Governance
🏢
Clients & Industry
Volvo · Deutsche Bank · SAP · Fortune 500 environments
🔬
Current focus
AI systems engineering, autonomous agents, DeepEval testing, ATL-Trust governance
📬
Get in touch
gene.darocha@voxstar.com
10 / Recommendations & References

What leaders & team mates say
about Gene.

38 verified recommendations from software engineers, QA leaders, project managers, and executive clients across Volvo, News UK, Rockstar Games, and tech startups.

38 Verified Recommendations
15+ Years of References (2009–2023)
100% Professional Endorsements
LinkedIn Verified References
Showing 1 – 4 of 38 recommendations

All 38 LinkedIn Recommendations

Full transcript of recommendations and professional references for Gene Da Rocha.

❓ FREQUENTLY ASKED QUESTIONS

AI Systems & Advisory Answer Engine

Direct answers to common architectural, implementation, testing, and engagement questions about working with Gene Da Rocha.

Gene Da Rocha designs, builds, automates, tests, and governs end-to-end AI systems for businesses. Spanning four decades of software engineering and enterprise testing at organizations like Volvo, Deutsche Bank, and SAP, Gene guides teams from identifying high-value AI opportunities through to production architecture, workflow automation, DeepEval evaluation, and zero-trust governance.

There are three structured commercial offers: (1) AI Opportunity Assessment — a rapid diagnostic that identifies revenue, cost, time, and risk reduction opportunities with an architectural blueprint; (2) AI Systems & Automation Sprint — designing, building, and deploying working AI agents, automated pipelines, or custom MCP integrations; and (3) AI Testing & Governance Review — auditing existing AI pipelines for hallucinations, excessive agency, data leaks, and compliance.

We implement automated DeepEval evaluation suites directly into CI/CD pipelines (PyTest). We evaluate metrics including Faithfulness, Answer Relevancy, Contextual Precision/Recall, and agent trajectory tracing to ensure models perform accurately without non-deterministic failure in production.

ATL-Trust is an emerging technology and governance initiative exploring a hardware-attested zero-trust control layer between AI intent and real-world execution. As AI agents gain the ability to take actions, ATL-Trust enforces validation, policy checks, and authorization before any real-world tool execution or API call occurs.

Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO) ensure your company, authority, and offerings are properly indexed, understood, and recommended when prospective clients, executives, and buyers ask questions in ChatGPT, Perplexity, Claude, and Gemini.

You can schedule a direct 30-minute AI Strategy Consultation with Gene Da Rocha via Calendly or email gene.darocha@voxstar.com.