Self-Service Analytics using LLMs
11-03, 11:00–11:40 (America/New_York), Central Park West (Room 6501)

Explore the intricacies of designing, implementing, and maintaining a production-ready LLM-based self-serve analytics platform. Learn about common pitfalls, essential design considerations, performance evaluation, and robust security measures like protection against prompt injection attacks.


Explore the intricacies of designing, implementing, and maintaining a production-ready LLM-based self-serve analytics platform. Learn about common pitfalls, essential design considerations, performance evaluation, and robust security measures like protection against prompt injection attacks.


Prior Knowledge Expected

No previous knowledge expected

Aaditya Bhat is a seasoned engineer with a proven track record of building end-to-end data projects at scale. In his current role as a Senior Data Engineer at Robinhood, Aaditya works with software engineers, product managers, and data scientists.

Prior to joining Robinhood, Aaditya worked as a Data Engineer at Facebook and held various data science roles at Cohen Veterans Network and Apptopia.