Fraz B.

AI voice agent developer building voice agents, RAG systems and AI SaaS that hold up with real customers, not just in demos. Top Rated, 100% Job Success. My healthcare voice agent handled 2,000+ live calls in six weeks. I built my first voice AI agent in 2024. It worked perfectly in testing. Then a caller with a heavy accent asked a question while their dog barked in the background, and the whole thing collapsed. That project taught me something most AI developers learn too late: the demo is 10% of the work. The other 90% is everything that can go wrong, like bad audio, CRM timeouts, callers who say "um" fourteen times and edge cases nobody warned you about. Now I only build AI that handles the chaos. That means AI voice agents and AI receptionists for inbound and outbound calls on Retell AI, Vapi and Twilio, conversational AI and RAG chatbots that answer from your own documents, AI agents and AI automation in n8n, Make and GoHighLevel, and full-stack AI SaaS and MVPs on Next.js, Supabase and Python. 𝗪𝗛𝗔𝗧 𝗜'𝗩𝗘 𝗕𝗨𝗜𝗟𝗧: 𝗩𝗮𝗿𝗽𝗮 is a HIPAA-compliant voice agent for multi-clinic healthcare practices. It answers calls 24/7, classifies caller intent across six categories, routes each call to the right staff and books appointments. It handled 2,000+ calls in six weeks at a 100% pickup rate, with EMR integration and no PHI in logs. 𝗔𝗲𝗹𝗼 is a productized AI receptionist for dental practices, live 24/7 with paying customers across three subscription tiers. It books and reschedules appointments, handles FAQs and escalates to staff only when needed, capturing the after-hours patients clinics were losing to voicemail. 𝗩𝗲𝗿𝗱𝗮𝗽𝘁 is a multi-tenant voice AI platform for home-service businesses such as landscaping, HVAC and plumbing. Each branded agent answers calls 24/7, books and qualifies jobs, syncs to Google and Outlook calendars, logs everything in GoHighLevel and sends invoices once the owner approves a job. 𝗤𝗮𝗹𝗶𝗳𝗔𝗜 is an outbound lead qualification agent that takes 40+ real estate calls a day. These are real leads in live conversations, with 92% intent accuracy across thousands of calls. It runs on Vapi with ElevenLabs voice, GoHighLevel CRM sync and Google Calendar booking, qualifies buyers, handles objections and hands off to human agents without losing context. 𝗣𝗮𝗽𝘆𝗿𝘂𝘀 is a RAG system that answers research questions across 15,000+ academic papers using hierarchical chunking, hybrid search with pgvector, Cohere reranking and cited answers. It says "I don't know" when retrieval confidence is low. Researchers trust it because it doesn't make things up. 𝗔𝗜 𝗙𝗿𝗮𝗻𝗸 generates legal documents with jurisdiction-aware retrieval, covering 700+ document types with statute citations, built on React, Python and pgvector. 𝗦𝘁𝗮𝘆𝗦𝗾𝘂𝗶𝗿𝗲 handles hotel reception calls, bookings and guest requests on Retell and n8n, connected to property management systems. 𝗔𝗱𝗦𝘄𝗶𝗽𝗲 started as a founder's Lovable prototype. I took it to production in 10 days with Supabase auth, row level security and Stripe, and it now holds 35,000+ ads with AI insights. 𝗙𝗹𝘆𝗯𝗮𝘀𝗶𝘀 is the booking engine I built for a flight platform company doing $1M+ ARR, on Next.js, TypeScript and Stripe. 𝗛𝗢𝗪 𝗜 𝗪𝗢𝗥𝗞: I take on AI voice agent development, RAG and AI chatbot builds, AI agent development and full-stack AI SaaS. I'm most useful when you're past the "exploring AI" phase and need something deployed, and I'll tell you if AI doesn't make sense for your problem. Most of my projects run $2K to $25K and take 2 to 6 weeks. I don't disappear mid-project, and I document everything so you're never dependent on me. 𝗧𝗘𝗖𝗛 𝗜 𝗪𝗢𝗥𝗞 𝗪𝗜𝗧𝗛: Voice AI: Vapi, Retell, Twilio, ElevenLabs, Whisper, OpenAI TTS, Deepgram RAG and LLMs: LangChain, LangGraph, LlamaIndex, OpenAI, Claude, Gemini, Cohere, pgvector, Qdrant, Pinecone, Elasticsearch AI-assisted development: Claude Code Backend: Python, FastAPI, Node.js, TypeScript, PostgreSQL, Redis, Supabase Frontend: React, Next.js, Tailwind CSS Automation and integrations: n8n, Make, Zapier, GoHighLevel, HubSpot, Google Calendar, Stripe, WhatsApp Business API Deployment: AWS, GCP, Vercel, Railway, Docker 𝗪𝗛𝗔𝗧 𝗖𝗟𝗜𝗘𝗡𝗧𝗦 𝗦𝗔𝗬: "Fraz is excellent to work with. Fast, thorough, and quick to accept feedback. His team is great, and we have loved working with them to create multiple software solutions. Fantastic Upwork contractor." Matt Gray, Founder, Hazard House "Fraz delivered exactly what he promised and communicated clearly throughout. He flagged potential issues before they became problems, built to a high standard, and documented everything so the system can be replicated without him." Client, Retell AI voice agent project If any of this sounds relevant, message me with what you're building. I respond within 30 minutes and I'll tell you honestly whether I can help.