I bridge the gap between neurotechnology and machine learning—building intelligent architectures that decode complex brain signals into actionable data. My work lives at the intersection of neural engineering, deep learning, and high-performance software.
- 🧠 Core Focus: Brain-Computer Interfaces (BCIs), neural signal processing (EEG/ECOG/EMG), and bio-signal deep learning architectures.
- ⚙️ Engineering Philosophy: Designing robust, real-time pipelines optimized from high-level neural networks down to the performance bits.
- 🌍 Currently: Developing low-latency decoding frameworks and exploring the future of human-computer interaction.
| Category | Technologies & Toolkits |
|---|---|
| Neural Engineering & BCIs | MNE-Python, Brainflow, OpenBCI |
| AI & Deep Learning | PyTorch, TensorFlow, Scikit-Learn, Hugging Face |
| Signal Processing | SciPy, NumPy, Pandas, Digital Signal Processing (DSP) |
| Languages & Infrastructure | Python, C++, Docker, Git, Streamlit / FastAPI |
