Platform
Data
Integration
Intelligence
Experience
How I Build

The Stack

I'm a PM, not an engineer. But I ship working prototypes. Here's the stack I use to go from idea to live product in days.

01
Layer 01

Platform

Where prototypes go live. I know enough about hosting and deployment to get a working prototype shipped in hours, not weeks. That means faster feedback loops, faster learning, faster decisions.

Skills

HostingDeploymentVersion ControlReliabilityScale Strategy

Tools

VercelRailwayGitHub
02
Layer 02

Data

Every prototype ships with instrumentation baked in. I set up tracking so I can see how people actually use the thing, then use that signal to decide what to build next. Opinions are cheap. Data earns its keep.

Skills

AnalyticsEvent TrackingA/B TestingMeasurementSQL Basics

Tools

SupabasePostHog
03
Layer 03

Integration

Connecting the dots. I wire up databases, auth flows, and third party services so a prototype can actually do something useful end to end. Knowing what fits together means I can move fast without painting myself into a corner.

Skills

APIsAuthenticationThird Party ServicesWorkflow Design

Tools

SupabaseWebhooksOAuth
04
Layer 04

Intelligence

This is where AI becomes a product, not a demo. I know when to reach for an agent versus a simple prompt, which model fits which use case, and how to ship AI features users actually trust. Strategy first, tech second.

Skills

LLM Product StrategyPrompt DesignAI AgentsModel SelectionRAG

Tools

ClaudeOpenAIFirecrawlVercel AI SDK
05
Layer 05

Experience

Where everything meets the user. I build prototypes that feel like real products, not sketches. Clean interfaces, deliberate interactions, and enough polish to test a hypothesis properly without wasting weeks on scaffolding.

Skills

Design SystemsUser ResearchPrototypingInteraction DesignAccessibility

Tools

FigmaNext.jsTailwind