Offer 01
MVP builds
For founders who need a first version in front of users without hiring a team from scratch.
- Cut the first version down before code starts.
- Ship something people can actually use.
Hanif Carroll Independent product engineer
MVPs and AI automation for nontechnical founders.
I turn product ideas and messy manual workflows into working software without agency overhead.
Focused MVPs that get in front of users.
Operational systems that reduce manual work.
Who This Is For
Know quickly if this is the right kind of help.
If you need a first version soon or software to remove a recurring bottleneck, the fit should be clear fast.
Best fit
- You need a first version in users' hands soon.
- Your business keeps losing time to the same manual work.
Probably not a fit
- Idea-only projects with no urgency or budget.
- Teams shopping for the cheapest developer hours they can find.
Where This Usually Starts
Most projects start in one of two places.
Either a founder needs a first version, or a business needs software to remove a recurring bottleneck.
Offer 02
Workflow automation + AI agents
For business owners and lean teams who need software to remove operational drag and make AI genuinely useful.
- Remove repetitive work inside the business.
- Add AI only when it reduces work or improves a decision.
Why This Works
Direct senior execution without the agency drag.
You get one person handling the scope, the build, the tradeoffs, and the communication. That matters when the buyer is nontechnical.
“Hanif quickly understood our needs, both from a business and aesthetic perspective, and translated them into a clean, functional website in no time. His professionalism and data-driven approach made the entire process seamless. The result exceeded our expectations.”
Monica Londoño
Co-founder · Punto de Partida
8+
years building software products
10+
client and internal projects shipped
3,000+
organizers served through tools I helped build
Step 01
Decide what needs to be built first
First we work out whether you need an MVP, workflow automation, or both.
Step 02
Cut scope hard
The first build has to be useful and small enough to ship.
Step 03
Build with direct feedback
You get direct updates and short demos without extra layers between us.
Step 04
Launch and learn
We ship something people can use, then decide what deserves the next round.
“Hanif delivers high quality work with strong attention to detail. He's reliable, communicates great, and has a sharp technical mind. Whether handling complex builds, troubleshooting under pressure, or adapting to shifting priorities, he was dependable every step of the way. He's the kind of developer who not only gets the job done but elevates the process for everyone involved.”
Markis Zarate
Founder, Creative & Graphic Designer · Zarate Studios
Case Studies
Find the closest match for the kind of problem you have.
The work is grouped by MVP, workflow, and AI-system projects so you can start with the most relevant examples.
MVP validation
Validated demand before inventory spend
Built a fake-door e-commerce launch for a beauty brand so the founder could test purchase intent and collect early demand before committing to inventory.
Measured demand with a high-fidelity storefront and turned curiosity into a launch list.
View case study Workflow automation
Turned phone calls into a digital stockroom
Created a searchable inventory system for an auto-parts supplier so customers could browse stock 24/7 instead of calling staff for every question.
Reduced repetitive operational work and increased qualified inbound inquiries.
View case study
AI systems
Took an AI product from fragile MVP to paid SaaS
Built subscription infrastructure, job queues, and production AI workflows for a creative platform generating image and video assets at scale.
Made the product billable, more reliable, and ready to support paying customers.
View case studyNext Step
Bring the bottleneck, and I’ll help decide what to build first.
Book a roadmap call if you need an MVP or a workflow that no longer depends on manual cleanup. If AI belongs in the solution, we can decide that after the workflow is clear.