JuliaCon 2025

Param Thakkar

Param Umesh Thakkar is a Computer Engineering student at VJTI, Mumbai, specializing in Generative AI, LLMs, and automation. He has built AI-driven recommendation models, content tools, and multi-agent systems using LangChain, CrewAI, and Llama.An open-source contributor at SciML, he has worked on Julia's OrdinaryDiffEq.jl and ODE solver testing. Skilled in C++, JavaScript, and Python, he secured third place in the Deloitte Quantum Climate Challenge 2024.


Session

07-23
16:40
10min
A RAG-LLM Workflow for Observational Health Research
Jacob Zelko, Param Thakkar

We describe a Retrieval-Augmented Generation (RAG)-informed Large Language Model (LLM) workflow for querying observational health data in the OMOP Common Data Model (OMOP CDM). Leveraging Julia software such as FunSQL.jl and OMOPCDMCohortCreator.jl, we explore how the model can automate and refine complex research queries in health research settings. This work explores RAG architectures, query examples, and reproducibility within health informatics.

The JuliaHealth Mini-Symposium
Main Room 3