Kaan D.

I help founders avoid losing months coordinating separate contractors or fixing fragile codebases. I own your SaaS architecture end-to-end—building production-ready Next.js web applications, scalable Supabase/Node.js backends, and cross-platform clients that won't require a complete rewrite in 3 months. I am a Full-Stack SaaS Product Engineer specializing in turning complex ideas into production-ready web and mobile ecosystems. Whether you are launching an AI-enabled MVP from scratch or taking over an existing prototype to make it scalable and secure, I build systems designed for real users and real revenue. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ WHAT I GET BROUGHT IN FOR 1. End-to-End SaaS & MVP Builds: Idea to production. One engineer owning the React/Next.js frontend, Supabase/PostgreSQL schema, backend logic, and cloud deployment. 2. AI-Native Workflows & Integrations: Practical AI features that survive production—LLM orchestration, RAG pipelines, OpenAI/Claude tool calling, and automated business workflows. 3. Multi-Platform Delivery: Pairing high-performance web dashboards with native-feel cross-platform mobile apps (Flutter / KMP) sharing a single unified backend. 4. Production Hardening & Rescue: Fixing RLS security policies, multi-tenant data isolation, webhook failures, slow queries, and fragile AI/low-code prototypes before scaling. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ PROVEN TRACK RECORD & CASE HIGHLIGHTS • $10,000+ earned across 15+ successful client deployments with consistent 5-star ratings. • TravelCini: Engineered a full-stack vacation planning SaaS across Flutter (iOS/Android) and a React Admin Panel with real-time sync, serving active international users ($5,900+ contract scope). • EvimAi @ Harvard Innovation Labs: Architected end-to-end multi-screen SaaS UX/UI design systems (120+ screens) and component hierarchies for complex workflows. • Vintage AI: Developed and launched an AI-driven image processing mobile application on the Apple App Store (500+ downloads in month 1 with zero crashes). • Multi-Tenant Loyalty SaaS: Built real-time reward ecosystem for multi-branch restaurant networks with Apple/Google Wallet integration and strict data boundaries. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ CORE TECH STACK & ARCHITECTURE • Frontend: Next.js (App Router), React, TypeScript, Tailwind CSS, shadcn/ui, TanStack Query. • Backend & Cloud: Node.js, Express, Supabase, PostgreSQL, Firebase, REST APIs, WebSockets. • Cloud & Infrastructure: AWS (S3, Lambda, EC2), Vercel, Docker, CI/CD pipelines. • Mobile Ecosystem: Flutter, Dart, Kotlin Multiplatform (KMP), native iOS (Swift) & Android (Kotlin). • AI & Tooling: OpenAI API, Claude API, Cursor, Claude Code, RAG architectures, Stripe Billing/Subscriptions. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ HOW I WORK I ask what the highest-risk architectural piece is before writing any code, and I tell you honestly what should be cut for v1 to get to market faster. You get clean, documented code your next developer can actually read, short written updates, and no surprise rewrites. If you are launching a SaaS or need a reliable engineer to take technical ownership of your product, send me a message with your project details. Let's discuss what to build first and what to cut.