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In this episode, we talk with Nikita Kozodoi, PhD, Senior AI Scientist at AWS Generative AI Innovation Center, about what it means to build generative AI and agentic solutions for real business problems.

Nikita works at the intersection of applied AI research, customer-facing consulting, and production engineering. His team helps companies move from early GenAI ideas to working systems across industries such as finance, life sciences, healthcare, automotive, logistics, and education.

We’ll discuss:

  • How GenAI consulting works in practice
  • What kinds of problems companies bring to AWS
  • How teams decide whether an AI agent, RAG system, coding assistant, or document processing pipeline is the right fit.

The conversation also covers the practical side of building with LLMs: working with enterprise constraints, evaluating outputs, managing cost and latency, using self-reflection, handling hallucinations, and moving GenAI systems from proof of concept to production.

About the Speaker:
Nikita Kozodoi, PhD is a Senior Applied Scientist at the AWS Generative AI Innovation Center working on the frontier of AI research and business. Nikita builds custom AI and agentic solutions to solve real-world business problems for AWS customers across industries.

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