Shirvon Paul

Shirvon brings an unusual and credible angle: a mechanical engineer from Trinidad and Tobago aiming AI at manufacturing, agriculture, and automotive problems. His standout repo, 'Pool Pump,' uses deep learning on accelerometer data to classify a pump's running state — a genuinely applied, domain-specific project rather than generic tutorial code — supported by Jupyter, Python, and C++. The footprint is still small with no stars and no commits in the past year, so it's early and currently dormant. But the hardware-meets-ML framing is a distinctive strength worth a direct conversation.