Neurotechnology, AI & Native Systems
Synthesizing rigorous mathematical modeling, real-time biological signal capture, and hardware-accelerated desktop runtimes.
Brain-Computer Interfaces
Real-time EEG telemetry, spatial covariance filtering (CSP), and artifact rejection filters for motor imagery decoding.
Clinical AI & Transformers
Segmented CNNs and transformer-based architectures for clinical diagnostics with zero-drift evaluation pipelines.
High-Performance Systems
Native GPU-accelerated desktop runtimes in Rust (GPUI) and Electron 30 with sub-10ms UI latency and zero-latency audio.
I leverage a multidisciplinary foundation spanning physics, computational intelligence, and biological sciences to engineer robust systems through algorithmic modeling. By pairing rigorous quantitative methods with experimental research, my work focuses on neural signal processing pipelines, transformer-based cognitive architectures, and high-performance desktop and systems software.