Khanwaiz Q.

I build AI-powered products that actually ship — not demos, not prototypes that stall after the pitch deck. Over 3+years,50+projects I've helped startups turn ideas into working MVPs and helped growing businesses bolt AI onto existing products without breaking what already works. My focus: AI websites, SaaS platforms, and mobile/web apps that use LLMs, automation, and AI agents to solve a real business problem — not just add a chatbot for the sake of it. What I build: AI-powered web & SaaS platforms — full-stack builds with auth, subscriptions, dashboards, and real-time data AI mobile apps — iOS/Android apps with LLM integrations baked into the product, not bolted on AI agents & MCP integrations — custom agents using Model Context Protocol to connect your product to real tools and workflows LLM & RAG pipelines — OpenAI, Claude, Gemini integrations with vector search (Pinecone) for grounded, accurate responses Automation systems — workflows that cut manual hours out of your operations SEO/GEO-ready builds — structured so your product is discoverable by both search engines and AI answer engines Core stack: AI/ML: OpenAI API, Claude API, LangChain, RAG, Pinecone, MCP Frontend: React, Next.js, React Native Backend: Node.js, Python (FastAPI/Django) Infra: PostgreSQL, Supabase, AWS, Docker Why clients keep coming back: I scope before I code. You'll get a clear plan, a realistic timeline, and updates you don't have to chase. I've seen too many "AI projects" die in scope creep — I keep builds lean and shippable, then layer in complexity once the core works. If you have a specific problem — not just "we need AI" — tell me what it is. I'll tell you honestly whether AI is the right tool for it, and if it is, how I'd build it.