About
Senior engineering leadership without the theatre.
I'm JP Caparas—an Auckland-based principal engineer who has spent the past 13 years steering AI products, regulated platforms, and large-scale rebuilds across APAC and Europe. From crown entities to venture-backed startups, I step into ambiguous roadmaps and leave behind calm delivery rhythms, measurable uplift, and teams that know exactly what to do next.
Alongside client work I maintain more than 100 open-source repositories, publish engineering playbooks, and share tooling that shortens feedback loops. The aim is simple: pair craftsmanship with accountability so founders, product leaders, and boards keep saying “yes” to the next release.
What guides our work
The same principles we bring to every build—precision, openness, and responsibility—keep teams aligned and products dependable.
Evidence before ego
Discovery notes, analytics, and code reviews drive decisions so founders and product leaders see exactly why a direction wins.
Hands-on seniority
Architecture diagrams turn into working code, infrastructure, and shipping rituals—no hand-waving, no endless slide decks.
Measured experimentation
We blend AI pilots, automation, and traditional software craft with guardrails that respect compliance and budgets.
Partnership over contracts
Calm communication, transparent pricing, and shared playbooks keep teams confident long after launch day.
Career snapshots
A few headline engagements that shape how I partner with founders and executives today.
Open-source footprint
Maintains 100+ repositories and 50+ gists, ranging from Laravel tooling to AI prototypes and testing harnesses. Everything I push to clients benefits from battle-tested patterns and community scrutiny.
Operating style
I blend calm leadership with hands-on build. Expect roadmap clarity, strong documentation, and instrumentation from day one—backed by a network of senior specialists I bring in when engagements demand it.
Public Trust · Development Lead
Guided the crown entity through an AI and DevOps reboot—pioneered retrieval-augmented planning, lifted CI/CD performance by 80%, and embedded observability across critical services.
Qrious · Chapter Lead, Intelligent Apps
Mentored multi-disciplinary squads shipping intelligent applications for enterprise clients, shaping go-to-market experiments and scaling engineering rituals across the org.
Founder, Zenoware
Advises founders from seed to scale on AI readiness, API strategy, and product design—pairing senior engineering leadership with calm execution.
Meet the team
Your dedicated point of contact for discovery and solutions, backed by senior engineering leadership and a trusted network of specialists.
Jason Curay
Business Development & Go-to-Market (GTM) Specialist
Jason is your first point of contact for understanding how Zenoware can help your business. He specializes in discovering client needs and designing tailored solutions that align technical capabilities with business outcomes.
- Partners with founders and executives to identify technical bottlenecks and map clear paths to product success.
- Translates complex engineering capabilities into business value, ensuring solutions fit your roadmap and budget.
- Coordinates with our technical team to assemble the right specialists for your specific engagement.
JP Caparas
Founder & Lead Engineer
JP leads technical delivery, bringing 13 years of principal engineering experience to help founders move from idea to resilient product without sacrificing pace or quality.
- Led AI and DevOps transformation for Public Trust, driving 80% CI/CD uplift while maintaining compliance standards.
- Mentored squads at Qrious as Intelligent Apps chapter lead, codifying playbooks used across the organization.
- Maintains 100+ open-source repositories, ensuring clients benefit from battle-tested patterns and transparent engineering practice.
Marlon Maniti
Technical Lead
Marlon leads our AI-assisted engineering practice, pairing deep frontend/UX experience with the developer tooling he builds for product teams.
- Creator of Vibe Kit, a context-engineering CLI that gives AI assistants a shared .vibe-kit knowledge base so code generation matches project conventions instead of hallucinating structure.
- Ships the toolkit as a TypeScript monorepo with pnpm, Nx, Biome, and policy checks (vk check/run) to keep AI outputs typed, traceable, and production-ready.
- Front-end developer and UX designer since 2011 (BA IT—Multimedia), bringing design sensibility to developer experience and AI workflows.