I am an AI/ML engineer focused on building systems with clear real-world impact. My work is guided by a simple principle: effective technology should solve hard problems and make people's lives tangibly better. I'm currently completing a Master's degree in AI and researching network theoretic analysis in neuroscience at the Movement Neuroscience Lab at Northeastern University.

Open-source autonomous LLM agent framework with decision context tracking and multi-step workflow execution. 500+ GitHub stars.

Text-conditioned audio stem separation model extending HT-Demucs with CLAP-driven cross-modal attention.

Mid-level fusion CNN classifying surficial geology from multimodal remote sensing data (RGB, NIR, DEM) for flood risk assessment.

Deepfake video classification RNN using a pretrained time-distributed MesoNet feature extractor with LSTM layers.
Northeastern University, Movement Neuroscience Lab
Blorm
CollX
Northeastern University, Khoury College of Computer Science
Northeastern University, Khoury College of Computer Science