Audio Technology & Innovation
I specialize in bridging creative music practice with cutting-edge technology. My work combines digital signal processing (DSP), AI-driven sound modeling, and plugin development to create innovative tools for musicians and producers.

Tri‑Beat — Polyrhythm/Polymeter with Shapes
JUCE • C++ • Audio DSP • Realtime
A performance‑oriented metronome & groove designer using concentric polygons to create polyrhythms and polymeters. Accents, one‑shot samples, and a global 4/4 clock for alignment.

DDSP Sax Transformer
Python • PyTorch • DDSP • TorchScript/ONNX
A Differentiable Digital Signal Processing (DDSP) Autoencoder that transforms the timbre of any input sound into a tenor saxophone. The model is trained on tenor saxophone recordings and their extracted fundamental frequency (f0) tracks.

IR Extractor — Deconvolution Toolkit
JUCE • C++ • FFT • Convolution • Tooling
A desktop utility to derive impulse responses (IR) from dry/wet recordings using spectral division. Includes trim/normalize and export to WAV for convolution reverbs.

Music Genre Classification
TensorFlow • Keras • CNN & MFCC • Audio ML
A machine learning pipeline for automatic music genre recognition. Combines MFCC feature-based dense networks and a VGG-style CNN on Mel-spectrograms. Trained on the GTZAN dataset and supports prediction from any uploaded audio file.

DDSP Timbre Transfer
Python • PyTorch • DDSP • TorchScript/ONNX
This Project contains a Differentiable Digital Signal Processing (DDSP) model trained for timbre transformation at 48kHz.
The model enables users to input an audio signal (e.g., guitar, vocal, synth, etc.) and transform its timbre towards a target sound, while preserving the expressive dynamics and temporal structure of the original performance.

Shimmer Reverb
JUCE • C++ • ZITAREV • FAUST
A cinematic shimmer reverb using ZitaRev core + granular pitch-shift layers (octave, fifth, etc). This project contains a minimal, Generic-GUI Audio Plugin (VST3 + Standalone). Tested on Windows 10/11 + Visual Studio 2022.