Hey, I'm Hanif.

Hanif Carroll | Product Engineer

I help founders and teams turn AI product ideas into shipped, revenue-generating software.

8+ years building web and mobile products, with recent work focused on LLMs, agents, RAG, evals, and MCP.

Hanif Carroll

Case Studies

What I Work With

A practical stack for AI-powered products that need to move from idea to production without losing the product thread.

Core Stack

  • TypeScript
  • React
  • Next.js
  • React Native / Expo
  • Node.js
  • PostgreSQL
  • Supabase

AI & Agents

  • OpenAI
  • Anthropic
  • MCP
  • RAG
  • Evals
  • Agent Workflows

Tools & Infrastructure

  • Stripe
  • RevenueCat
  • Vercel
  • Docker
  • Playwright
  • Claude Code
  • ChatGPT Codex

What people I've worked with say

Hanif quickly understood our needs, both from a business and aesthetic perspective, and translated them into a clean, functional website in no time.

Monica Londoño Co-founder, Punto de Partida

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.

Markis Zarate Founder, Zarate Studios

He suggested design-to-engineering hand-off improvements to make our workflow more efficient, asked insightful follow-up questions during design reviews, and brought my Figma designs to life so we could deliver value to our users.

Sarah Hibner Senior Product Designer, LeagueApps

A bit about me.

I work with founders and teams when the job is bigger than code alone: shape the product, narrow the first version, build the software, and get it launched. I'm also building Casamo, an AI-powered stay-decision tool for remote workers choosing a long-term stay.

Based in Buenos Aires, working US hours. US clients contract with me through HC Studio, my LLC.

More about me

Where I think this is going.

Everyone keeps saying taste is now the most important skill. I find that framing to be incomplete. It stops the question too early. Taste doesn't do much if you don't know what you want to build in the first place. AI has made implementation cheap. That shifts the bottleneck to something harder: being honest enough with yourself to pick the right problem and actually follow through.

Point of view

Let's talk.

Building an AI product or need help shipping a focused first version? Let's talk.