Interactive visualization of the Tonnetz harmonic lattice for exploring chord relationships in neo-Riemannian music theory with Web Audio synthesis.

A sophisticated music theory tool that visualizes all 12 pitch classes in a 2D Tonnetz grid where musical intervals follow predictable geometric patterns: Major 3rds move right, minor 3rds move down, and Perfect 5ths are diagonal. Build and play chord progressions, explore harmonic relationships, and save your compositions.

Neo-Riemannian Harmonic Space Explorer

Tonnetz Lattice

Mathematical simulation of autonomous agents reaching consensus through graph-based communication. Graduate thesis work in Applied Mathematics.

First Python programming project from graduate school (2015). Models N autonomous agents in 2D/3D space whose dynamics are dictated by neighbor knowledge. Implements various network topologies using Laplacian matrices and solves ODEs to simulate consensus dynamics.

My First Python Script

Graph Theoretic Multi-Agent Dynamics

IoT plant monitoring using ESP32-S2 microcontroller with Flask backend and Heroku deployment. Full-stack hardware-to-cloud integration.

Hardware and software integration project featuring an ESP32-S2 microcontroller monitoring a Dracaena draco plant. Sensor data is processed with pandas, served via Flask API, and deployed on Heroku. Demonstrates complete IoT stack from embedded systems to cloud.

ESP32 Plant Monitoring System

Dragontree IoT Monitor

Physics-based fretboard visualization of major triads across all string groups with circle of fifths color coding and Web Audio playback.

Comprehensive guitar learning tool featuring major triads visualization with realistic fretboard rendering. Uses exponential fret spacing (Fender 25.5" scale) and circle of fifths color system. Hover over any note to hear it played through the Web Audio API.

Personal Projects

Tonnetz Lattice

Graph Theoretic Multi-Agent Dynamics

Dragontree IoT Monitor

Guitar Major Triads Visualizer