Junaid C.

AI SaaS Developer | Voice AI agents | Next.js, Node.js, Python, RAG

I'm an AI SaaS Developer who ships the whole system: Voice AI agents, LLM and RAG features, and multi-tenant SaaS platforms built on Next.js, Node.js and Python. Recent AI SaaS work: an AI-driven booking system for a $300M company. An AI hiring platform that parses and screens 5,000+ CVs. A multi-tenant Voice AI SaaS running real-time telephony on VAPI, Twilio and Whisper. An AI automation pipeline that cut a client's lead-to-meeting time by 78%. And an MVP that helped a founder close a $300K round. 𝗪𝗵𝗮𝘁 𝗜 𝗯𝘂𝗶𝗹𝗱 As an AI SaaS developer I get called in for four things: - AI SaaS platforms: multi-tenant AI SaaS platform for startups - auth, billing, dashboards, and a real AI layer underneath, not a ChatGPT wrapper. - Voice AI agents: a Voice AI agent for inbound calls and appointment booking - lead qualification, call routing, CRM sync. VAPI, Twilio, ElevenLabs, Whisper. - LLM integration: a RAG chatbot integrated into an existing SaaS platform, plus document and OCR automation, embeddings, and OpenAI API work. - MVP development: investor-ready in weeks, then hardened and scaled for production - not thrown away and rebuilt. 𝗦𝘁𝗮𝗰𝗸 Frontend: React, Next.js, TypeScript, Tailwind CSS Backend: Node.js, Express, NestJS, Python (FastAPI, Django) Data: PostgreSQL, MongoDB, Supabase, Firebase, vector databases (Pinecone, pgvector) AI: OpenAI API, LangChain, RAG, Whisper, VAPI, ElevenLabs Infra: AWS, GCP, Docker, GitHub Actions, CI/CD, serverless Payments and comms: Stripe, Twilio, OAuth, webhooks, WebSockets I'm a full stack developer by training. I don't hand off the backend, and I don't hand off the deploy. 𝗛𝗼𝘄 𝗜 𝘄𝗼𝗿𝗸 I'll tell you when your idea doesn't need AI. A good share of the "AI features" I get asked for are a database query and a cron job wearing a costume, and I'd rather build you the cheap thing that works than the expensive thing that demos well. Most AI SaaS builds I inherit were shipped fast and then rebuilt twice. I'd rather build it once. That means boring decisions early: real auth, real billing, real error handling, a cost model for your tokens before you have 10,000 users, not after. I use Claude Code and Cursor daily. They make me faster; they don't make the decisions. Every line is reviewed by me before it reaches your repo, and I'll tell you where the model got it wrong. You're paying for the judgment, not the typing. We start with a small, fixed-scope paid engagement. You judge me on shipped code, not on how well I talk. If it goes well, we scale up. If it doesn't, you've lost a fraction of a bad hire. 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 SaaS - FinTech - Healthcare - Logistics - PropTech - HRTech - Marketplaces - CRM/ERP If you need an AI SaaS developer who can architect, build and scale the whole product - not just wire up an API - hit INVITE or send a MESSAGE. Tell me what's broken, or what you're trying to launch, and I'll tell you straight whether I'm the right person for it. I usually reply within a few hours. 𝗔𝗹𝘀𝗼 𝗵𝗶𝗿𝗲𝗱 𝗳𝗼𝗿: AI voice agent development, conversational AI, LLM integration, RAG chatbots, AI automation, multi-tenant SaaS, MVP development, and AI integration into existing platforms.