Building an end-to-end ECG analysis pipeline in Python: ingestion, filtering, baseline-wander removal, signal-quality assessment, QRS/R-peak detection, and RR-interval analysis. Extending into abnormal-beat and arrhythmia detection validated against annotated PhysioNet databases, feeding a dashboard for long-term monitoring.
Timeline
My journey through various projects and roles in tech and machine learning.
Building the frontend of the orbitrasecurity.com product site and its business panels in HTML, CSS, and JavaScript, shipping customer-facing product pages alongside internal business dashboards. Also ran security-focused product testing across authentication, session handling, and data-flow layers.
Building reinforcement-learning driven assistance systems for leg-amputee mobility using EMG signals. Working on RL control for prosthetic legs, collecting and processing EMG data.
Placed 2nd under Bionix. Built an EEG-based motion-imagery classifier using OpenBCI. Extracted CSP features, implemented a live 4-class decoding pipeline, and developed real-time visualizations for neurofeedback.