On my independent R&D project, Mental_Health_AI, I engineered an offline 32-channel brain-computer interface framework that maps scalp telemetry onto a 68-node structural connectome grid using custom Graph Convolutional Networks.
I designed a real-time client-server telemetry streaming simulator with Python network sockets and built PyTorch receiver buffers to process incoming data and calculate connectome sync deficit indices. I also documented system performance and published spatial graph assets.
At Chulalongkorn University, I guided engineering students through circuits, power systems, and signal-processing labs, and provided instruction in MATLAB, Simulink, and AutoCAD. Earlier, as a Junior Electrical Engineer at Blue Sky Construction Pvt. Ltd., I supervised electrical installations, performed QA/QC inspections, and supported low-voltage system testing and commissioning.
