Case Studies

In-depth breakdowns of software architectures, machine learning models, and system implementations.

01Featured Case Study

SkyRipple: Agentic Airtraffic Simulator

Operating on 582,304 real BTS flight records, 190,711 crew pairings, and 2.41 million synthetic passenger itineraries, SkyRipple is an analytical discrete-event delay propagation prototype and agentic recovery simulator. This case study outlines the technical implementation of the heavy discrete-event engine, the LLM boundary guardrails, the multi-agent arbitration architecture, and how the simulation was compiled into a zero-latency static web demonstrator.

Agentic SystemsDiscrete-Event SimulationPythonNext.js
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02

Agentic Systems for Synthetic Healthcare Data

A synthetic data generation system that utilizes agentic workflows to simulate realistic patient-practitioner interactions, orchestrating stateful agents to generate structured, FHIR-compliant healthcare records.

03

Autonomous Mapping: Neural Spatial Conflation

A two-tower Neural Network that automates the spatial linking of traffic assets to physical mounting structures, identifying LiDAR sensor anomalies and accelerating map update velocity.

04

AI-Driven Faculty Research Classification

Developed an agentic pipeline using LangGraph and Gemini Flash to categorize unstructured university-wide research descriptions into standardized taxonomies.

05

MediQuery: AI Patient Triage & Provider Routing

An AI-assisted health navigation prototype that processes natural language symptoms to triage conditions and route users to localized specialists.

06

Chicago Diabetes Modeling: Spatial Predictive Analytics

Quantified socio-economic determinants of adult diabetes across 77 Chicago community areas using regression and spatial clustering, deploying an interactive dashboard with AI-assisted interpretation.

07

Predictive Volatility: Election Forecasting Models

Evaluated national election forecasting models using custom probabilistic stress-tests, Brier score decompositions, and conditional dependencies in R and Python.