01 / Consequence
Start with the workflow that matters
Identify the decision, user, operational cost or risk that must improve before choosing a model or architecture.
Production AI · Agent Orchestration · Consequential Workflows
Production AI for workflows that cannot fail silently.
I design and ship AI-enabled systems where permissions, source evidence, evaluation, fallback and human judgement are product requirements. Twelve years of software delivery across health technology, regulated financial services, food tech and enterprise SaaS underpin the work.
Open for consulting and the right senior roles. Wellington and New Zealand focused, with availability for Australian and remote teams.
PermissionDefine exactly what every model, agent and tool may access or change.
EvidenceGround outputs in inspectable sources and evaluate behaviour against the workflow.
ControlMake fallback, escalation and human judgement part of the product.
OwnershipEngineer latency, cost, monitoring and recovery before production.
The engineering practice
Make AI useful without making control ambiguous.
02 / Boundaries
Constrain what the system can do
Design tool access, data flows, API contracts, source boundaries and human escalation before autonomy reaches a consequential action.
03 / Verification
Test behaviour, not just the happy path
Evaluate retrieval, structured output and end-to-end outcomes. Expose failure modes, cost and latency while keeping deterministic fallback available.
See the AI engineering profile04 / Production ownership
Stay accountable after the demo
Ship the architecture and code, define monitoring and recovery, document the decisions and leave the team able to operate the system.
The niche
When AI can act, its operating boundary becomes part of the product.
The hard part is not making a model respond. It is deciding what the system may access, what evidence it may trust, how success is measured, when it must stop and who owns recovery. That is the engineering work I specialise in.
Health software, regulated financial services, food operations and enterprise SaaS provide different constraints—and evidence that the method transfers.
Selected experience
Evidence from systems already in production.
Enterprise automation
Decision-support and workflow automation
Built internal tools that improved the speed and accuracy of operational decisions across existing enterprise systems.
- Correctness-critical decision support
- Workflow and systems automation
- Product delivery inside a regulated organisation
Food tech · Zambrero
Improved online-ordering reliability
Improved production reliability by addressing cloud infrastructure, caching, SQL queries, API data mapping and database indexes.
- AWS infrastructure and deployment
- API and database performance
- Reliability tied to customer revenue
Enterprise SaaS · Sine / Honeywell
Worked across product, platform and quality
Contributed across frontend, backend and core visitor-management systems using Node.js, React, TypeScript and AWS, while helping engineers improve test automation.
- Full-stack product engineering
- Cloud services and APIs
- Teaching, documentation and quality practices
Health software · Updoc
Products for doctors, patients and pharmacies
Built user-facing software across mobile and web products, working through product, technical and operational constraints in a compliance-heavy environment.
- End-to-end product ownership
- User-facing, correctness-sensitive workflows
- Cross-functional delivery
New Zealand · Eyemagnet
Product engineering for operational systems
Built web applications, APIs and commerce workflows in New Zealand using PHP, Symfony, JavaScript and PostgreSQL for products serving large organisations.
- Backend and API engineering
- Operational software
- Experience delivering in the New Zealand market
Founder · Healthy food product
Carried a product idea into software
Founded and built a healthy-food product across mobile applications and backend services, combining engineering decisions with direct product ownership.
- Founder-level product judgement
- Mobile and backend delivery
- Food-tech domain experience
Build · Teach · Advise · Productise
I make the work useful before I ask for attention.
The model is simple: solve real engineering problems, explain the decisions in public, help teams facing the same constraints, then turn repeated patterns into reusable tools and products. The content is evidence of the work—not a separate performance.
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01 / Build
Ship real systems
Own production software long enough to understand the second-order effects.
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02 / Teach
Give the method away
Publish code, articles, videos and courses people can use without hiring me.
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03 / Advise
Solve the adjacent problem
Use the visible method to begin a focused engagement around a real constraint.
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04 / Productise
Build what keeps repeating
When the evidence is strong, turn the pattern into reusable software.
13 years
Open-source platform
Creator of pH7Builder, backed by more than 11,000 commits across a long-running open-source body of work.
View pH7 Software225,000+
Engineering-course enrolments
Four software-engineering courses have more than 225,000 combined enrolments. Teaching at this scale is evidence that I can make technical ideas useful to people with different levels of context.
View Udemy instructor profile1 language
Programming language author
Designed and implemented a programming language as part of a wider practice of learning systems by building them.
Browse GitHubVideo + writing
Technical publishing
Technical explanations across YouTube, my professional blog, Substack and developer publications, grounded in hands-on software work.
Inspect how I think before deciding whether we should work together.
These practical notes expose the judgement behind reliable automation, long-lived systems and product decisions.
See what the strongest systems demonstrate and how they create client leverage.
The selected project page connects long-term platform work, private and on-device AI, product foundations, food-tech systems and technical education without removing the wider archive below.
Project archive
My Programming Things 🤗 (and side projects 😋)
Consulting and roles
Flexible ways to add product judgement and hands-on technical depth.
Consulting
- Production Risk & Delivery Sprint
- Larger scoped engineering delivery
- Embedded senior engineering support
Senior roles
- Senior or Lead Software Engineer
- Founding or Principal Engineer
- Software or Solution Architect
Availability
Open to consulting, contract work and selected permanent roles. Wellington is the primary market; New Zealand, Australia and remote teams are welcome.
See consulting options and role fitA consulting engagement can begin with a five-business-day Production Risk & Delivery Sprint, continue through a larger scoped build or extend into embedded senior support. The common requirement is a real problem, meaningful ownership and a clear outcome.
Background
Engineering, product and data.
I hold a computer science degree and a postgraduate diploma in data science with distinction. I am originally from Casteau, Belgium, and have built products across New Zealand and Australia.
Hello You! 👋 Happy to see you here! 🎉
Pierre-Henry - Building Innovative Solutions 📍
>>Problem-Solving ~ Product Design ~ Psychology ~ Traveling ~ Branding ~ Marketing<<
⚡️Creative Developer 💡
I'm Pierre-Henry, originally from Casteau 🏰 (Belgium 🇧🇪)
I'm a cool software developer (and much more... I hope! 😃)
Do my best with best practices and with S.O.L.I.D. Clean Code! 💪
Extremely passionate, expert and motivated in what I'm doing 😊
Open-minded, team player and honest. Always want to share knowledge and help the others.
❤️ Love Open Source! Every single time I build a new project for myself, I immediately think about how to open source it to be able to share my work and knowledge with others on GitHub 👍
I ALWAYS push LOTS of determination, focus and knowledge from myself in order to accomplish as best as I can a new project from scratch (this is really important to me!). The mission/purpose of the project has also to be important to me.
Love the Business world too, Growth Hacking, Web Marketing (but not the old-school one!), and Psychology!
Always thirsty to learn and undertake new exciting things and thrilling challenges.
I am incredibly passionate about anything related to AI, ML, technology, and data science.
Consulting and senior engineering
Is there an important product or engineering problem to solve?
Tell me what needs to ship or improve, why it matters and where the difficult decisions are.