Build01 / Product engineering
From vibe-coded to venture-grade
AI gets you a demo. I turn it into architecture that holds up under real users, investor scrutiny and technical due diligence.
Open to new projects
Naveed UllahProduct engineering · Security · AI
Anyone can generate a demo now. I turn it into a secure, automated, production-grade product — and stay until it’s live.
01 — The gap
Your prototype works. Now make it a business.
Demo ≠ product
AI made building cheap. It didn’t make shipping easy. Security holes, brittle architecture and manual ops are where good ideas quietly lose their runway. This is the gap I close.
After — the product
Secrets vaulted and rotated ✓
Every route authorised ✓
Layered, tested, reviewable ✓
CI/CD, containerised deploys ✓
Automations that run themselves ✓
Before — the demo
← Vibe-codedMove across to ship itVenture-grade →
02 — What I do
Builder. Breaker. Automator.
0104
Break02 / Security testing
Security built in
Hands-on VAPT across OWASP Top 10, API Top 10 and WSTG. I attack the app before anyone else gets the chance.
Think03 / AI integration
AI that earns its keep
LLM features, agents and RAG wired into real workflows. Judged on outcomes, not demos.
Automate04 / Automation
Automations that run 24/7
Pipelines, integrations and back-office workflows that replace manual hours. Watch the busywork drop.
Yours?
Let’s ship it.
The rule
Fast is easy.
Finished is rare.
AI can write code in seconds. It can’t own the outcome. Someone still has to make it secure, make it scale, and make it run without a human babysitting it. I use AI to move faster — never to cut corners.
03 — How I build
Built on principles,
not prompts.
AI writes the first draft. These rules decide what reaches production, so the product outlives the hype cycle.
EntitiesCore business logic. Framework-free, model-free, testable in isolation.
Business logic isolated from frameworks, so swapping a model, a database or a vendor never means a rewrite.
Security isn’t a phase at the end. Every endpoint is built the way I’d attack it.
A clean seam for LLMs: swappable providers, versioned prompts and outputs you can measure.
Loosely coupled services that scale on their own and talk through events.
If a human does it twice, a pipeline does it from then on.
Gang of Four, OOP and dependency injection — used where they help, never for show.
S
Single ResponsibilityOne reason to change.
O
Open / ClosedExtend it, don’t edit it.
L
Liskov SubstitutionSubtypes keep the contract.
I
Interface SegregationSmall, focused interfaces.
D
Dependency InversionDepend on abstractions.
04 — Toolbox
One partner. Four roles.
Engineer, pen tester, AI integrator and automation builder. That’s one contract instead of four hires.
Product04
- Next.js
- React
- TypeScript
- Flutter
Backend05
- NestJS
- Node.js
- Go
- Laravel
- PHP
AI & Automation05
- LLM integrations
- AI agents
- RAG
- Workflow automation
- APIs & webhooks
Security05
- VAPT
- OWASP Top 10
- OWASP API Top 10
- WSTG
- Security reporting
Data & Messaging06
- PostgreSQL
- MySQL
- MongoDB
- Redis
- Kafka
- MinIO
DevOps06
- Docker
- Kubernetes
- Nginx
- Jenkins
- SonarQube
- Linux
06 — Contact
Got a demo?
Let’s make it ship.
Tell me what you’re building and where it’s stuck. You’ll get an honest technical take.
- You write. A few lines about the product and where it’s stuck.
- I reply. A straight read on what’s solid, what’s risky and what I’d do first.
- We ship. Scoped, built, attacked, automated — then live.