SaaS Development

For founders and teams that need a senior full-stack engineer for their SaaS.

SaaS Development & Full-Stack Engineering

I work across the full stack so the SaaS gets shipped — frontend, backend, APIs, data, and AI.

From the first product slice to production engineering, I handle the work that doesn't fit on a single person's desk — without the coordination overhead of separate frontend, backend, and AI engineers.

A short brief on what you're building is enough to start — we'll work backward from there.

Stack

  • Next.js
  • React
  • TypeScript
  • FastAPI
  • Node.js
  • PostgreSQL
  • AWS
  • Docker
Full-Stack SaaSHexify Tech

Ship the SaaS — across the whole stack.

Frontend, backend, APIs, data, integrations, deployment, and ongoing engineering — handled end to end by one senior engineer.

  • Full Stack

    Frontend, backend, and infrastructure.

  • Production

    Code that survives real users.

  • AI-Ready

    Architecture that supports LLM features.

Start with the smallest shippable slice

Then iterate.

AI
FastAPI
AWS
audience

Who this is for

SaaS development fits teams that need senior full-stack engineering across the whole product surface.

    Founders building a SaaS from zero

    Teams scaling an existing SaaS without adding full-time hires

    Businesses modernising a legacy SaaS or WordPress / WooCommerce stack

    Healthcare and regulated-industry platforms needing senior engineering

    Teams needing a senior partner before they're ready to hire

what

What I build

Outcomes delivered across the SaaS surface — presented as capabilities, not buzzwords.

Customer-facing SaaS front-ends

Modern Next.js / React interfaces designed around the actual product workflow.

Backends and APIs

FastAPI and Node.js service layers with clean contracts, auth, and observability.

Dashboards and admin tools

Internal tools for support, operations, and customer success — built around real workflows.

Multi-tenant SaaS architecture

Tenant boundaries, access control, and per-tenant data modelling from the start.

Authentication and access control

Session handling, RBAC, and tenant isolation wired into the existing product shape.

Production infrastructure

AWS, Docker, CI/CD, and deployment patterns designed for reliability at scale.

frontend

Frontend engineering

The frontend stack the work lives on.

Frontend

  • Next.js
  • React
  • TypeScript
  • Tailwind CSS
  • Server components
  • Redux
  • Vite
backend

Backend and API engineering

The service layer and API surface.

Backend

  • FastAPI
  • Python
  • Node.js
  • Express
  • REST APIs
  • GraphQL
  • Webhooks
  • Authentication

Data

  • PostgreSQL
  • MongoDB
  • Redis
  • SQLite
  • Schema design
  • Migrations
ai

AI integration

Where AI fits inside SaaS work.

AI

  • OpenAI
  • Claude
  • Gemini
  • LangChain
  • LlamaIndex
  • RAG
  • AI Agents
  • Vector databases

Automation

  • n8n
  • Playwright
  • Puppeteer
  • Workflow automation
infra

Production and deployment

The infrastructure the SaaS runs on.

Cloud & Infrastructure

  • AWS
  • EC2
  • Amplify
  • Nginx
  • Docker
  • Linux
  • GitHub Actions
  • Zero-downtime deployments
process

How SaaS projects run

Engagement model — short enough to start, structured enough to ship.

    Step 01

    Scope

    Define the smallest shippable slice of the SaaS and the next iteration's surface.

    Step 02

    Architecture

    Decide the stack, the data model, the deployment topology, and the boundaries.

    Step 03

    Build

    Frontend, backend, APIs, and data layer — handled together, not in parallel handoffs.

    Step 04

    Integrate

    Wire in third-party APIs, AI features, auth, billing, and observability.

    Step 05

    Deploy

    Production deployment with sensible defaults — and the ability to roll back when needed.

    Step 06

    Iterate

    Keep shipping: bug fixes, new features, performance, and reliability — without a long hiring cycle.

relevant-work

Relevant work

Real SaaS platforms across healthcare, CRM, and existing stores.

Skannr — healthcare booking SaaS

A full-stack SaaS for booking MRI and diagnostic scans with patient management and provider data.

React · Node.js · FastAPI · PostgreSQL

View Project

Hexify AI CRM — sales pipeline SaaS

AI-assisted CRM with pipeline, automation, and AI-driven workflows.

React · Next.js · Node.js · PostgreSQL

View Project

Bollard Security — WordPress / WooCommerce modernisation

Modernised a long-running WordPress + WooCommerce storefront with a route toward a modern app.

WordPress · WooCommerce · PHP · MySQL · Cloud infrastructure

View Project
scenarios

Typical SaaS project shapes

Saas projects I've shipped, scoped, or supported — useful as a starting point.

Build the first shippable slice

The first end-to-end slice that proves the product — small enough to ship quickly, real enough to learn from.

Scale an existing SaaS

Performance, reliability, and feature work on a SaaS that's already live.

Modernise a legacy SaaS

Move a WordPress / WooCommerce or older stack toward a modern, multi-tenant SaaS architecture.

Add AI features to an existing SaaS

AI assistants, RAG, automation, and intelligent workflows wired into a working product.

Operate as an embedded engineering partner

A senior engineer operating inside the team — without the hiring cycle.

FAQ

Frequently asked questions

Answers to common questions about full-stack SaaS development.

Both. I take on focused, shippable slices for new products and ongoing engineering on existing products — without the coordination overhead of multiple specialty hires.

Next.js, React, TypeScript, FastAPI / Python, Node.js, PostgreSQL, MongoDB, Redis, AWS, Docker, GitHub Actions. AI integrations use OpenAI, Claude, Gemini, and standard retrieval stacks.

Yes. I can lead the build, collaborate with your in-house engineer, or step in for specific slices — whichever model keeps velocity high.

Yes. Maintenance, performance, custom functionality, and staged migration toward a modern application architecture.

Yes. That's the focus of the AI Development and AI Integration pages — see those for the engineering shape.

It depends on the scope. Focused, shippable slices often land inside a few weeks; broader SaaS builds are scoped project-by-project.

Yes. There's a dedicated AI & Software Engineering Support page for retainer-based support and ongoing engineering.

Discuss your SaaS.

Send a brief — what's built, what's next, and where the bottleneck is — and I'll respond with the simplest way forward.

You don't need to know the technical solution first. Describe the problem — I'll help identify the right path.