Ivan T.

AI Agent Developer | LLM & RAG Systems | SaaS Architect & Engineer

I build internal and customer-facing AI products for B2B companies - from operational platforms and decision systems to multi-tenant SaaS. 🤖 31 AI systems launched | 🚀 16 yrs in tech | 🤝 OpenAI Select Partner I take ownership of the complete product delivery: workflows, architecture, backend, AI and agent logic, integrations, data, permissions, and production launch. Deep experience integrating GPT, Claude, Gemini, and Perplexity APIs into production systems using LangChain, Agent SDK, Langfuse, and custom orchestration logic. My typical stack includes FastAPI + Python + Supabase for backend systems and ReactJS for scalable front-ends. I focus on launching MVPs fast and turning them into production-ready AI products. I’ve earned $150k+ on Upwork delivering complex AI SaaS platforms and agent-based systems for founders and teams - from MVPs to long-term scalable products. Most projects involve complex business logic, multi-system integrations, and product-level architecture thinking. I work independently and lead a small engineering team when project scale requires it. 🧠 What I build - AI SaaS platforms with multi-tenant architecture and decision engines - LLM systems with RAG, memory, scoring, and structured outputs - AI tools for sales, procurement, analytics, and infrastructure 🏗 Industries - Real estate & PropTech - USA, Canada, Australia - Automotive & marketplaces - Sales-driven and data-heavy products Open to other domains with non-trivial problems. ⭐️ Selected recent projects - Multi-tenant AI Brokerage Platform - white-label SaaS with tenant isolation and AI listing scoring - AI Tender Evaluation System - weighted scoring + RAG-based compliance validation - B2B Opportunity Intelligence Platform (USA) - AI-driven pre-sales company research, opportunity scoring, and sales training system for enterprise deal preparation • AI Real Estate Matching Platform - multi-agent property search with semantic filtering and lead scoring 🔧 How I work 1️⃣ Define the real problem and success metrics 2️⃣ Design system architecture first 3️⃣ Build in milestones with early usable results 4️⃣ Deliver production-ready systems with clean handoff 🛠 Tech Python • FastAPI • LLMs (GPT, Claude, Gemini, Perplexity) • LangChain • RAG Supabase • PostgreSQL • Vector databases CRM & tools: Zoho, Airtable, Notion, Google Sheets Automation tools (incl. n8n) only when they make sense, not as a core focus. If you need someone who thinks like a product owner and delivers like an engineer - let’s talk ✉️