LOVGEN J.
Voice & Private On-Prem AI | LLM/RAG Apps for Healthcare & EdTech
I build conversational and voice AI that survives contact with real users — sub-second responses, real accuracy, and the data privacy that healthcare and education clients actually require. My team and I build voice and conversational AI platforms that run fully on-premise or on a private AI stack: no external APIs, no data leaving your network. Over 15+ years I've delivered 110+ projects here on Upwork and led builds for clients across the UK, Europe, US and South Africa. Most AI demos look great on a slide and fall apart the moment real people use them. My work is the opposite. I care about the unglamorous parts: latency, hallucination control, where the data lives, and what happens when ten thousand users hit the system at once. A few projects that show what I mean: — OELMS (UK): a conversational AI that trains on a client's own documents, websites and videos, then answers questions, fills forms and translates across languages. — Innovative Education (South Africa): a drag-and-drop chatbot builder that cut query resolution time by around 75%. — A healthcare voice agent running fully on-premise on open-weight models — no external APIs, no patient data ever leaving the client's network — at sub-800ms latency. — A healthcare and patient-experience platform that uses AI to elevate the patient journey end to end. — A voice AI agent that automates the full sales cycle, from first contact to qualified handover. I'm not a solo freelancer juggling everything alone. I lead a senior engineering team — Cubet, 150+ people, 15+ years, Official Laravel and Microsoft Partner — so you get me as your direct point of contact and a full team behind delivery. That's usually the difference between a prototype that stalls and a product that ships. The team I lead has delivered for organisations that don't take chances on their technology partners — a leading UK bank, one of the world's largest shipping operators, and a major European and Mediterranean insurer. Where I focus: — Conversational and voice AI (LLM, RAG, real-time voice agents) — Private / on-premise AI for regulated industries (healthcare, edtech, finance) — AI features inside existing products: search, document intelligence, decision support If you're past the experimenting stage and want AI that holds up in production, tell me what you're trying to build. I'll give you an honest read on whether it's a fit and how I'd approach it.
Earnings and projects
Last 6 months ÷ 6
Billed in all: $429,313$429k
$0 in the last 6 months
Across 143 contracts