For recruiters, the 30-second version
Software Engineer · University of Southern Mississippi · Expected Dec 2027
I build native audio tools and applied ML systems, from the implementation details to the finished product.
What I've built
A macOS menu-bar app for real-time, per-app audio routing, plus an OSS CLI that pipes raw PCM straight into local AI models.
My contribution: Co-developed with Arjav Lamsal, with particular focus on real-time audio safety, crossfade behavior, per-app EQ state and blending, and release/distribution infrastructure.
A scalable pipeline benchmarking RF, XGBoost, and TF-SVM models for network intrusion detection.
My contribution: Built the data preparation and model-comparison pipeline, using macro-F1 to evaluate performance across classes.
A “sing-to-search” project: hum a tune and retrieve ranked matches from a MIDI corpus using learned audio embeddings.
My contribution: Building the embedding and retrieval pipeline, including triplet-loss training and hard-negative mining.
Core stack
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