MedNow

Inspiration

I helped primarily with the AI/ML architecture, creating the simplistic front end using Streamlit, collaborating with the team to create reasonable analytical approaches such as the distance matrix calculations approaches to reduce the solution space being sent to LLMs in the AI Gateway, and ensure timely execution of the final project. All team members were paramount in the final deliverable for this project.

Private user
I helped Chris and David by crafting the queries that were used to massage the data that our app is based upon. I used the data that Chris cleaned to pull the relevant columns that we picked to send to our LLM for assistance.

Terri Wharff
I collaborated with my teammate Terri on the data engineering workstream. Together we profiled all three source datasets to understand their structure, quality, and relevance to the challenge, then designed and implemented the bronze-to-silver ETL pipeline in Databricks notebooks covering data cleaning, JSON parsing, coordinate validation, and geographic lookup table construction. I also explored a Genie Space backend architecture with full instruction sets, example SQL, and Unity Catalog column comments as a potential natural language query layer. While the Genie approach was not used in the final submission, the silver tables Terri and I built served as the data foundation the team's app ran on.

cgillotte Gillotte

Private user started this project — Jun 16, 2026 01:45 PM EDT

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