Case Studies
In-depth breakdowns of strategic engineering initiatives, system architectures, and their business impact.
Autonomous Mapping: Neural Spatial Conflation
Deployed a predictive neural network that improved road-sign detection accuracy from 82% to 98%, eliminating ~1,500 manual fieldwork hours weekly and lowering European data collection costs. Delivered strategic performance analytics to product leadership, informing a core pipeline redesign that improved data utilization across 5+ downstream products.
Agentic Systems for Synthetic Healthcare Data
A synthetic data generation system that utilizes agentic workflows to simulate realistic patient-practitioner interactions. Moving beyond traditional statistical methods, this project orchestrated agents to generate structured, FHIR-compliant healthcare records.
MediQuery: Gemini-Powered Diagnostic Mapping
Led a 10-person engineering team to map patient symptoms to over 5,000 diseases utilizing the Gemini API and a 2.6M+ entry US-CMS dataset.
Chicago Diabetes Modeling
Analyzed geographic and demographic variables to predict diabetes prevalence across urban zones, translating raw statistical models into actionable public health insights.