About Nadia

Nadia has built and shipped multiple LLM-powered features for US-based e-commerce, martech, and customer support platforms, working on real production use cases such as personalization, content generation, automated customer interactions, and internal tooling. Her work goes well beyond prototyping: she focuses on designing systems that can reliably operate at scale, with predictable latency, controlled costs, and consistent output quality.

She approaches LLM engineering with a strong product and UX mindset, collaborating closely with product managers, frontend engineers, and designers to ensure AI features feel fast, intuitive, and trustworthy for end users. Nadia places particular emphasis on production robustness, including prompt versioning, fallback strategies, monitoring, and continuous improvement based on real user behavior. Her goal is to make AI capabilities feel like a natural, dependable part of the product rather than an experimental add-on.