Hands-on Lab: Coding Context-Aware RAG Applications for Enterprise-Level


Principal AI Technology Lead


I am an AI Technology Lead and a seasoned Software Architect with over 11 years of hands-on experience in Telecom, Fintech, and Aerospace. I specialize in designing frameworks and complex solutions for real-time systems. 

Proficient in Java, Python, JS and SQL with a deep understanding of architectural design patterns and procedural, object-oriented, and functional programming paradigms.

Highly skilled in system performance, data integrity, AI and fraud detection, I have experience leading international teams in both enterprise and startup environments.


Principal AI Technology Lead



In the fast-changing world of technology, creating conversational agents that excel in large business environments is key to smarter and more effective digital help.

AI Chatbots cover a broad spectrum of use cases, such as impersonations, customer support, assistants, and even substituting parts of GUIs. Chatbots are likely to be instrumental in transforming our current approaches to UX and privacy.

In this workshop, we will build from scratch such a system by emphasizing the needs of large enterprises.

Live-coding session agenda:

  1. Introduction to Neural Networks, GenAI, Conversational Agents Architectures and RAG.
  2. Data preparation: Streamlining Unstructured Data.
  3. Natural Language Understanding: Setup LLM and NLP toolkits.
  4. Knowledge Representation: Data Embedding and Chunking.
  5. Retrieval: Semantic Search and Reasoning.
  6. Privacy: Strategies for implementing robust privacy policies.
  7. Edge Cases Discussion: Fine-tuning, Prompt Engineering and Knowledge Graphs.
  8. Q&A

This workshop aims to equip developers with the knowledge and tools to build advanced, privacy-aware, and efficient AI chatbots.

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