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I build custom AI automation systems, chatbots, and full-stack web & mobile apps that help businesses reduce manual work and move faster.
I’ve worked across projects including restaurant ordering systems, hotel guest messaging, AML/fraud monitoring platforms, and government AI assistants.
With 10+ years in IT & software, including experience with Citigroup, American Express, and UTRGV, I work with JavaScript, Node.js, Python, APIs, AI/LLMs, and cloud technologies.
Have a process to automate or a system to build? Let’s talk
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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I worked across the checkout flow, the storefront and category browsing, and the product page above the fold - three surfaces where small frictions had quietly built up against the brand's own case for calm. The brandbook gave the rules. The UI work was making sure those rules survived contact with a real cart and a real user.
For the case study visuals, I used AI for the first time to produce product footage 🤖 - wind moving through a scene, an object drifting in place. Higgsfield was genuinely a good way to learn that workflow fast.
Full case study - actual before/after breakdowns - is up on Behance 🔗, linked below.
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The checkout flow detail is what stands out to me, that's usually where a brand's calm promise turns into three different button behaviors fighting each other. On your AI question, I think it matters less whether it's fast and more who's checking the output against the brand's...
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https://www.youtube.com/watch?v=dAyuz8q9V6c
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Amazing, wish you win this challenge.
My recent client is an Australian printing firm.
They already had clients coming in.
The problem was what happened after the agreement.
When a client agrees to payment terms, every delay matters.
A payment process that sits waiting for someone to follow up can slow down the entire client journey. And when clients experience unnecessary delays, it can affect more than cash flow. It can affect their confidence in the business.
So I built an Agreed Payment System in Make.com designed around the client journey.
The goal wasn’t simply to automate emails.
It was to create a process that keeps agreed payments moving, keeps communication consistent, and reduces the amount of manual follow-up required from the team.
The workflow takes the agreed payment process and routes it through the appropriate steps, conditions, and Gmail communications.
The system helps keep the process moving.
And this is where my background in sales development and client retention comes into the automation work.
I don’t look at automation as:
Trigger → Action → Done.
I look at it as:
Lead → Sale → Client → Experience → Retention → Repeat business.
Because getting a client is only part of the job.
You also need systems that make it easy for that client to keep doing business with you.
Sales development + client retention + workflow automation.
That’s the intersection I build around.
The handoff after a client agrees to terms is where many service businesses leak cash flow. Automating follow-up there is a practical B2B wedge because it ties the workflow directly to revenue.