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Multi-tenant AI voice-agent SaaS: inbound call handling, multi-channel (Twilio, Instagram, Facebook), knowledge management with document ingestion (6+ formats) synced to ElevenLabs, RAG on Qdrant, and Stripe billing.
Applied LLM Systems · RAG · Voice & Document AI · Workflow Automation · LLM Ops
Software engineer with 15+ years of commercial development, the last 2+ years focused full-time on applied AI / LLM systems. I design and operate production services around Large Language Models — RAG pipelines, real-time voice agents, document/OCR extraction, and multi-provider LLM integration with routing and fallback. I work by mixing ready-made tools with custom-built solutions: orchestrating pipelines in n8n / LangChain nodes where that ships fastest, and writing native code (Python / Node) where control and reliability matter. Full ownership: design → implementation → containerized deploy → monitoring & auto-heal. Primary language Python (FastAPI).
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Multi-tenant AI voice-agent SaaS: inbound call handling, multi-channel (Twilio, Instagram, Facebook), knowledge management with document ingestion (6+ formats) synced to ElevenLabs, RAG on Qdrant, and Stripe billing.
Backend for a B2B procurement platform: relational data modeling for a multi-party marketplace (buyers / suppliers / catalog taxonomy), idempotent batch-UPSERT integration endpoints, and ERP sync (Syrve / 1C).
Art-QR generator with a vision-LLM step and a self-healing model watchdog that fails over when a provider model is retired. Live, free, no paywall.
Multi-tenant SaaS for marketplace store management, plus a CRM assistant with a hand-built vector-retrieval memory written from scratch — embeddings + cosine + a Float32 store and a search_memory tool doing top-k retrieval into an agentic tool-calling loop. No RAG framework.
Multi-provider LLM engine: per-slot model routing with automatic fallback, a dedicated prompt-builder module, persistent memory, and a voice fast-lane instrumented for latency/token benchmarking with per-call model override for A/B comparison.
Vision-LLM document service: /ocr for verbatim extraction and /receipt for structured JSON from receipt/invoice photos — key entities and attributes, with field validation and multi-sample verification.
Browser and telephony voice agents: a real-time loop of Whisper STT → LLM → Silero / Piper / ElevenLabs TTS streamed over WebSockets, with barge-in handling.
Hosted, multi-tenant Issues & Wishes board that embeds on any site with a single line. Multi-tenant data model on Supabase, deployed on Cloudflare.
// also built & running
10+ years as a Senior / Lead Unity (C#) developer. Hover a card to play a preview.