AI Product Engineer Products × Agents × Systems London, UK · 2026

I BUILD AI THAT SURVIVES REALITY.

Diviyaj Ayengia
DIVIYAJ / LONDON

Technical Solutions Manager by role. AI product builder by practice. I ship original products and dependable operational systems—from spatial interfaces to the infrastructure that makes them real.

Explore
selected work
Spatial computing + game design Live / public

01 / 08

GESTURE
GALAXY

A cinematic procedural galaxy that lets players fly through 180,000 stars, enter solar systems and discover planets—with full hand-gesture piloting performed locally through a webcam.

Gesture Galaxy spatial exploration game REAL PRODUCT / REAL SCREEN VIEW LIVE
“REAL USERS”
PUBLIC WORK + ANONYMISED CASES

THE SHIP
KIT.

ONE PRACTICAL SPINE

I use a deliberately compact stack to move from a proven interface to a secure, integrated production system—without losing control of data, deployment or rollback.

01 / INTERFACE

REACT

TypeScript · Vite · Next.js

Product UI and full-stack application delivery
02 / DATA + AUTH

SUPABASE

Postgres · Auth · RLS

Schemas, policies, migrations and access control
03 / WORKFLOWS

N8N

Self-hosted · L2 certified

Official UK Ambassador · production workflows
04 / DELIVERY

VERCEL

Preview · release · rollback

Repeatable production delivery and release gating
05 / EDGE

CLOUDFLARE

DNS · TLS · subdomains

Traffic, certificates and controlled public exposure
THE ENGINEERING SURFACE

MORE THAN
A WEB STACK.

The same product owner can move through application code, database policy, integration logic, infrastructure and the operational handoff.

FULL-STACK
JavaScriptTypeScriptReact
JavaScript · TypeScript

React, Next.js, component systems, state and end-to-end application delivery.

DATA
PostgreSQLSupabase
Postgres · schema design

RLS policies, migrations, reconciliation, single-source and single-writer controls.

AUTOMATION
n8nNode.js
APIs · webhooks · jobs

n8n workflows, scheduled syncs, REST integrations and failure-aware pipelines.

PLATFORM
LinuxDockerCloudflareVercel
Linux · systemd · HTTPS

VPS administration, regional deployment, Cloudflare DNS and certificate handling.

COMPUTE + AI
PythonWebAssembly
Python · WASM · agents

Data tooling, local processing, MediaPipe, LLM workflows and agentic delivery.

INTEGRATION
ShopifySlackHubSpotAirtable
Commerce · ERP · CRM

Shopify, Amazon, finance, logistics, analytics and workspace platforms.

THE ACTUAL DIFFERENTIATOR

FRAMEWORKS GET BUILT.
DISCIPLINE GETS SHIPPED.

01Prototype before infrastructure

Local interface and mock data first. Prove the product before introducing cloud complexity.

02Secure the data boundary

RLS, migrations, one writer per production database and read-only access by default.

03Make every sync observable

One-way where possible, scheduled, monitored and checked for drift.

04Separate production actions

Merge, deploy and data writes are individually gated—not bundled into one irreversible move.

05Parallel run before cutover

Pause the old system instead of deleting it; preserve a rollback path under one hour.

06Own what happens next

Release, observe, resolve and improve from real use. Shipping is the start of the evidence.

PLATFORM FLUENCY
SHOPIFY PLUS · AMAZON · ERP · XERO · HUBSPOT · POLAR · AIRTABLE · GOOGLE WORKSPACE · SLACK
THE DIFFERENCE / 01MORE THAN SOFTWARE DELIVERY
!

WHEN
REALITY
FOUGHT BACK.

The best engineering decisions appeared after contact with real constraints—not inside the initial specification.

  • Re-architected deployment for a restricted network
  • Kept private files entirely on-device
  • Removed premium code physically from the free build
BREAKUNDERSTANDREBUILD BETTER

WHAT
I BRING
TOGETHER.

ONE OWNER / FOUR DISCIPLINES

The value is in the connections: product judgement informing architecture, data informing UX, and automation surviving production.

01

Product engineering

Discovery, requirements, UX systems, full-stack implementation, authentication, testing, release and iteration.

React · TypeScript · Node · Vite · Vitest
02

AI systems

Agentic workflows, knowledge retrieval, evaluation-minded automation, training and human-in-the-loop operating models.

Claude · LLM APIs · RAG · prompt systems
03

Data + integration

Schema design, migrations, API orchestration, ERP and CRM integration, access control and reliable sources of truth.

Postgres · Supabase · RLS · REST · webhooks
04

Platform + automation

Deployment pipelines, self-hosted infrastructure, background workflows, observability and production incident ownership.

Vercel · n8n · Linux · Cloudflare · Docker
04 / AI-NATIVE DELIVERY

HUMAN
JUDGEMENT.
MACHINE
LEVERAGE.

PARALLEL BUILD CAPACITY
HUMAN DIRECTION
×
LEVERAGE

AI EXPANDS THE POSSIBLE.
ACCOUNTABILITY STAYS HUMAN.

I use agents as a disciplined delivery multiplier: parallel investigation, implementation and verification under one product and technical direction. Priorities, judgement, validation and responsibility remain mine.

Agents accelerate research, build and test loops
Human ownership governs decisions and production
SPECIFYDELEGATEVERIFYSHIP

FOUR
MOVES.

Fast does not mean careless. It means reducing uncertainty in the right order.

MOVE 01DISCOVERY

FIND THE REAL CONSTRAINT

Map the people, process, data and failure modes before choosing the shape of the solution.

FRAME
MOVE 02ARCHITECTURE

DESIGN FOR REALITY

Choose the smallest system that can survive its users, integrations, permissions and operating context.

DESIGN
MOVE 03DELIVERY

SHIP THE WHOLE LOOP

Build, migrate, test and deploy—not just the interface. Keep the release path repeatable.

SHIP

THE
RANGE.

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THE SHORT VERSION

BUILDER.
OPERATOR.
TRANSLATOR.

“My best work happens where the problem is cross-functional, the system is messy, and somebody needs to own the whole answer.”
01 / PRODUCT

I make ambiguity buildable.

I turn conversations, workflows and scattered requirements into a clear product and technical direction.

02 / ENGINEERING

I build beyond the interface.

Data models, permissions, integrations, migrations, deployment and operational controls are part of the product.

03 / AI

I use leverage deliberately.

AI agents accelerate the work, while evidence, review and human judgement keep it trustworthy.

04 / OWNERSHIP

I stay accountable.

I care whether the system works on Monday morning for the person whose job depends on it.

THE THROUGH-LINE IS SIMPLE.
I TURN COMPLEXITY INTO USEFUL SYSTEMS.

CAPABILITY.
RELIABILITY.
HUMAN JUDGEMENT.

LET’S BUILD
USEFUL
AI.

BUILDING AMBITIOUS APPLIED AI PRODUCTS?
LET’S TALK.

BUILD
WHAT’S NEXT.

AYENGIADIVIYAJ@GMAIL.COM