Hello, I'm Rezi.

I don't spend my time just typing lines of code. My focus is system architecture and execution efficiency—using modern tools to turn your idea into a live product as fast as possible, without compromising quality.

With 6+ years of fullstack experience, I now orchestrate an AI subagent pipeline from discovery to deployment. My commercial lens means I don't just know how to build—I understand the feasibility and strategic value behind every feature.

Open to selected projects in the coming months.

I can help you with

Product

I don't wait for a perfect brief. I help dissect the problem to figure out what actually needs to be built—then design the flow all the way to market-ready.

Fullstack

6+ years working across data, APIs, and interfaces gives me intuition for every technical trade-off. Every architecture decision comes from a real need, not just chasing trends.

AI & Orchestration

I orchestrate an AI subagent ecosystem to accelerate execution. But product direction and architecture stay in my hands—documented properly via ADRs, not buried in chat history.

Approach

I've moved from writing code by hand to orchestrating systems. My role is to dissect the problem, design the architecture, and break it into tasks—then an AI subagent team executes them. I also bring AI in from the ideation stage to stress-test the logic, but the direction and final calls stay entirely mine.

Values

“Not live, not done.” My focus is the end result that actually works in production and delivers real value.

“Decisions are documented, not just remembered.” Every architecture choice is logged in a structured way (ADR) for the system's long-term health.

“AI accelerates, I'm accountable.” AI drives efficiency, but the product's quality and integrity are 100% my ownership.

How I move a project forward

Turning a raw idea into something ready to use, executed through an orchestrated AI subagent team. Every key architecture decision is documented clearly—keeping the process structured with no compromise on quality.

Discover

I dig into the real problem with stakeholders to shape the initial concept. Before execution, I stress-test and validate the idea with AI—making sure the solution holds up logically, not just on paper.

Design

I design the system architecture and product flow myself. For visual details, I pull the best design trend references with AI's help, then break the whole plan into tasks ready for the AI subagent team to execute.

Build

The AI subagent team—backend, UI, QA—works in parallel. I act as lead reviewer for every output. Nothing ships to production without direct quality control from me.

Ship & Iterate

The product ships to live, then its performance gets tracked from real data. Every next iteration is based on actual user behavior, not guesswork.

Curious how it actually works?