Service

AI-Assisted Custom Software Development

Web, API and data products built with AI-assisted engineering and real code review.

What I build

Products that need a real backend, a clean API and a frontend that does not fall over: dashboards, internal tools, SaaS features, document pipelines and the services that sit behind AI features. I write the specification first, so we agree on scope before code exists.

How I work

Every project runs on one branch strategy, one CI pipeline and one definition of done. AI tools help me draft code and tests quickly; a type checker, linting and my own review decide what stays. You see progress on a preview deployment, not in a status report.

When to call me

You have a product idea with a clear owner and no engineering team yet, or you have a team that needs a senior engineer to design and ship a well-bounded piece of the system.

What you get

Written specification and architecture before code
Typed API and data model, containerised and deployable on your cloud
Automated tests and CI on every commit
Handover documentation and a recorded walkthrough

Selected work

Case studies for this service

Premium family connection platform (under NDA)

Production

Agentic Question Generation for a Family Connection App

A LangGraph agent with agentic RAG generates personalised daily storytelling prompts as strict JSON, served to a live mobile app through FastAPI on AWS.

Production outcomes

Production status reflects the live mobile integration and operational tracing; no numerical engagement lift is claimed.

Daily

Personalised prompts per member, fully automated

Stable JSON

Typed contract the mobile team integrated without friction

Read case study

Self-Built Project

Demonstrated

Document Extraction Pipeline: Scaling AI Workloads with FastAPI and Celery

An async-first extraction service: FastAPI accepts uploads, Celery workers run OCR and LLM extraction, and typed schemas turn invoices, legal documents and ESG reports into JSON.

Demonstrated capabilities

These are implemented capabilities and supported schemas; no comparative speed or accuracy benchmark is claimed.

Async

Queued worker processing keeps uploads responsive

Typed JSON

Schema-validated output for supported templates

Read case study

Related work

Related projects

Document Extraction Pipeline

Turn Documents into Structured Data with AI

Self-Built ProjectDemonstrated

A production-ready FastAPI service that extracts structured data from PDFs and images using OCR and LLM technology. Features async processing, JWT authentication, and support for multiple document types including invoices, legal documents, and ESG reports.

FastAPICeleryPostgreSQL

BoxCricket Umpier

AI-Powered Cricket Scoring for Gully Cricket

Self-Built ProjectDemonstrated

A Next.js 14 mobile-optimized cricket scoring application for box cricket and gully cricket matches. Features ball-by-ball scoring, intelligent rules engine, live statistics, and smart undo functionality.

Next.js 14TypeScriptTailwind CSS

Questions I get asked

What does "AI-assisted" mean in practice?

I use AI coding tools to move faster on scaffolding, tests and refactors. Every line still goes through my review, a type checker and CI before it ships. You get speed without the mystery code.

Which stacks do you work in?

Python with FastAPI on the backend, TypeScript with Next.js on the frontend, PostgreSQL, Redis and Docker. On AWS I mostly use ECS, Lambda and Bedrock.

Can you take over an existing codebase?

Yes. I start with a short audit, add tests around the parts we will touch, and then change things in small, reviewed steps.

Have a problem that looks like this?

Tell me about it. I reply within one working day with a first take and no sales pitch.

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