Past engagements
Every once in a while, I get invited as a keynote speaker, podcast guest, or panelist. Below is a selection of my recent talks.
Comet & Lena [interview]:
"Advanced RAG Techniques": Optimising Retrieval for LLMs at Scale
PyData London 2025 [conference talk]:
"Making LLMs reliable: A practical framework for production"
PyData London 2025 [podcast]:
Conversational AI, ethics and future of AI Assistants [In Russian]
AI builders 2025 [meetup]:
"Making AI sound human: Should we, can we, and what happens when we do"
Convers(AI)tinos 2025 [panel discussion]:
S2 E10 - Implementing GenAI in conversational AI experiences
Maven [Lightning Lesson]:
"AI automation landscape: Lean what's possible to automate today"
I also regularly get invited as a speaker
Every once in a while, I get invited as a keynote speaker, podcast guest, or panelist. Below is a selection of my recent talks.
Topics for public speaking and media
I'll be glad to share my experience on the following topics
What makes a good conversation
Data management for Conversational AI
Case studies from production
Prompt engineering best practices
Advanced RAG
architecture
Techniques to reduce LLMs hallucinations
Current trends in Conversational AI
The future of Conversational AI
Training AI to simulate domain experts
Conversational AI user interfaces
Testing & evaluating AI Assistants
Measuring your chatbot performance
Some of the topics I love talking about
Strategy
Maybe you don't need an
AI Assistant
In-depth analysis of scenarios where traditional solutions may outperform chatbots, and strategies for identifying the most effective approach.
Training data
Curating training data in the era of RAG and LLMs
Addressing the unique challenges of managing and updating knowledge in AI systems over time to maintain relevance and performance.
Case studies
Human-centric AI: empathy in chatbot design
How to integrate empathy into chatbot design to create meaningful, human-centered AI experiences.
Case studies
Designing proactive AI assistants
Moving beyond FAQ bots to create AI assistants that anticipate user needs and provide proactive engagement, with lessons drawn from real-world use cases in real estate.
Conversation design
Avoiding endless conversations
Best practices for designing AI assistants to gracefully conclude interactions without frustrating users.
Technical
Advanced RAG
techniques
Deep dive into advanced methods for RAG architectures
Evaluating
Measuring AI assistant impact
Key metrics and ROI insights for assessing AI assistant performance, with real-world examples from the real estate sector.
