AI automation, data and web engineering — built by one person who ships
I build the systems that take repetitive work off your team: workflow automations, assistants grounded in your own data, analytics pipelines, integrations, and fast websites. No agency layer, no account manager, no handoff to someone you have not met.
What I build
Six things, done properly, rather than a list of everything anyone has ever asked for.
AI Workflow Automation
Stop doing work that software can do for you. I design and build workflow automations that connect your apps, move data between them, and take action without anyone remembering to.
Read more →Data Analysis & Insights
Data is only worth what you do with it. I build the pipelines, dashboards and reports that turn your numbers into decisions somebody actually makes.
Read more →Power BI Dashboard Development
Dashboards people actually open. I build the data model underneath, the DAX that makes the numbers right, and the report layout that gets someone to an answer in two clicks.
Read more →Data Cleaning & Processing
Dirty data quietly ruins good decisions. I clean, validate and structure your datasets so the analysis, models and reports built on top of them can be trusted.
Read more →AI Chatbot Development
An assistant that knows your business, not the internet's vague impression of it. I build RAG chatbots grounded in your own documents, with an honest answer when they do not know.
Read more →Website Design & Development
Your website is the one salesperson that works every hour of the year. I build fast, accessible, search-ready sites that load quickly and give visitors something obvious to do.
Read more →API Integration & Development
Your tools should talk to each other without a person in the middle. I build the integrations and endpoints that connect your CRM, ERP, online store, finance systems and internal tools into one flow.
Read more →Web Scraping & Data Extraction
The data you need is on a website and not in a file. I build extractors that collect it reliably, keep collecting it on a schedule, and hand it over in a shape you can actually use.
Read more →Why work with one engineer
Built and running in production
I run a multi-tenant AI platform serving live businesses — real traffic, real orders, real failure modes. This is not a portfolio of prototypes.
You own everything
Built in your accounts, on your credentials, documented. Nothing depends on me still being here next year.
A straight answer about fit
If automation is the wrong tool for your problem, or the work is not worth what it would cost, I will say so on the first call.
How an engagement runs
A free discovery call
Thirty minutes on what you do now, what it costs you, and where the time actually goes. No deck.
A written proposal
Scope, approach, timeline and a fixed price — so you are comparing a plan, not a vibe.
Build with visible progress
Weekly updates and something you can look at early. Surprises at the end are a process failure.
Handover that sticks
Documentation, a walkthrough, and 30 days of support after go-live.
Writing
Working notes on automation, data and the decisions behind them.
What Is AI Automation? A Practical Guide
How AI automation differs from the rule-based kind, the four types worth knowing, and how to choose a first project that will not embarrass you.
Read article → Data CleaningData Cleaning Best Practices: Preparing Data for Analysis and AI
The seven steps, and the judgement calls inside each one that decide whether the result can actually be trusted.
Read article → AI Automationn8n vs Make vs Zapier: How the Billing Model Decides It
Feature tables will not tell you which to pick. The billing model will, and the gap reaches 5-8x at volume. Here is the arithmetic.
Read article →Tell me what is taking too long
Thirty minutes, no deck, and a straight answer about whether this is worth building.
Start with a free discovery call