Pavel Moroz
AI product and technology leader: conversational AI, LLM agents and automation.
7+ years in AI and ML products for healthcare, fintech and telecom: from strategy and architecture to production launches, quality evaluation and measured business impact.
- MEDvidi (US telehealth, 2025 to 2026). Built the patient communication layer from scratch: AI agents in SMS, voice and chat on the website, integrated with patient workflows, lead management and support operations. Inside: LangGraph agents with MCP tool calling, business rules in the backend, evals and observability. Result: 40% of SMS sessions resolved by the agent without staff; patient response time down from about 30 minutes to under 1 minute.
- MTS AI (telecom, 2023 to 2025). Led the first production launch of an LLM in customer-facing conversational AI in MTS Group: automation up 10% with user satisfaction held. Owned the product roadmap and quality metrics for text and voice assistants handling tens of thousands of customer requests a day: 20+ custom production models, comprehension up 7% in voice and 24% in text, a 50-person cross-functional team.
- Alfa-Bank (banking, 2019 to 2023). Migration of the bank's conversational AI platform, work on user scenarios, data analytics, NLU quality, release validation, personalization and assistant UI (buttons, tooltips). Predictive conversation flows raised automation by 20% in key scenarios; Alfa-Bank's first #1 in the Markswebb bank chatbot ranking (2022).
Now: agent quality audits and AI product management
For startups with an LLM agent in production. A two-week audit that shows where the agent fails, why, and what to fix first, with a regression suite left in your repo. See the offer.