Ahmad I.

100+ AI agents shipped · 10+ voice AI products · Top Rated Plus · 100% JSS. I was building conversational AI before LLMs made it easy. Not just an AI Engineer — I scope like a consultant, plan like a product manager, and ship like a full-stack AI Engineer. 5+ years in chat and voice, now LLM-native: RAG, multi-agent systems (LangGraph, MCP), production voice agents (Vapi, LiveKit, FastRTC). I architect and ship complete systems, not prototypes. ___________________________ 👥 WHO I WORK WITH 👉 Founders who need their first AI product built right the first time — not a demo that falls apart in front of real users. 👉 Startups scaling a voice agent or RAG system from MVP to real production traffic. 👉 Teams adding AI to what they already run — phone agents, document search, internal copilots — without breaking what works. ___________________________ ⭐ WHAT MAKES ME DIFFERENT ✅ Conversational AI since before LLMs 5+ years building chat and voice systems — so I know what actually breaks in production: turn-taking, escalation, latency, context. Not just how to call an API. ✅ Consultant + PM + engineer in one I scope the problem, decide what's worth building, then ship it. No three hires, no handoffs, nothing lost in translation. ✅ End-to-end ownership Working systems in production — with docs, support, and a plan to scale. Never half-built prototypes. ✅ Top Rated Plus · 100% Job Success The track record speaks for itself. ___________________________ 🛠️ WHAT I BUILD → AI Products & MVPs RAG systems, multi-agent workflows, AI copilots, and document intelligence — idea to working product, not a demo. → Voice AI & Conversational Systems Production voice agents and phone systems, from IVR to complex multi-agent voice. Vapi, LiveKit, FastRTC, Twilio. → Full-Stack AI Apps The whole product, not just the model — Next.js + FastAPI + Convex/Postgres, built to run in production. → Workflow Automation Connecting AI to the tools you already use — FlowXO, n8n, Make, Zapier — so it fits your process instead of replacing it. ___________________________ 📦 WHAT I'VE DELIVERED A few systems I've shipped to production: 1️⃣ Voice AI for Healthcare — ThriveLink (Roger) A multi-agent voice agent that replaced clunky web forms with natural conversation. 24k+ conversations handled, 35%+ of users prefer voice over typing, 80%+ return rate. (LangGraph · Vapi · Twilio · OpenAI) 2️⃣ Enterprise Knowledge RAG — Knobi A RAG platform over internal docs and wikis with hybrid search and cross-encoder re-ranking — accurate, cited answers. ~80% of routine questions deflected, 10k+ docs indexed. (LangChain · Qdrant · FastAPI · Next.js) 3️⃣ AI Legal Assistant — PanteraGPT (Antonio) A multi-agent LangGraph pipeline for contract review, clause extraction, and compliance Q&A. ~60% less manual review time, 3k+ documents processed. (LangGraph · OpenAI · Bedrock · PostgreSQL) 4️⃣ Coaching Bot Platform — Coachendo A chatbot trainer-and-loader that lets non-technical teams spin up and deploy coaching bots in minutes. Plus voice and RAG systems for Doña Justina, Shopperfix, PRMediaLabs and more. ___________________________ 🧭 HOW I WORK 1️⃣ Discovery — your problem, your users, your constraints. I tell you honestly if I'm the right fit. 2️⃣ Plan & Architecture — a clear plan, timeline, and milestones before any code. 3️⃣ Sprint Delivery — 2–4 week sprints with progress you see weekly. Working software, not status updates. 4️⃣ Launch & Support — production deployment, docs, and a support window. Optional retainer. ___________________________ ⚙️ TECH STACK AI / LLM — LangGraph, LangChain, MCP, OpenAI, Bedrock Voice AI — Vapi, LiveKit, FastRTC, Twilio Vector & Search — Qdrant, OpenSearch Backend & Product — Python, TypeScript, FastAPI, Next.js, React, Convex, MongoDB, PostgreSQL, Redis Cloud & Automation — AWS, Vercel, FlowXO, n8n, Make, Zapier ___________________________ 💬 NEXT STEP Four ways to work together — every project quoted up front, no surprise invoices. Figures are starting points: 1️⃣ Consultation · £120/hr — architecture reviews and direction before you build the wrong thing. 2️⃣ Scoped Build · £6k+/project (most common) — fixed scope, fixed quote: builds, integrations, POCs. 3️⃣ Fractional · £350/day — part-time AI engineering at a set weekly cadence. 4️⃣ Embedded · Let's talk — open to the right full-time or contract role, owning systems architecture to production. Send me your idea with a rough budget. Within 24 hours you'll get: - whether I can help (I say no to ~40% — a bad fit wastes both our time), - a rough scope and timeline, - and 2–3 clarifying questions. No sales pitch, no pressure — just a straight answer.