SOFAR AI / THE PEOPLE BEHIND THE SIGNAL
We build acoustic intelligence for maritime awareness. Signal processing, machine learning and systems engineering — brought together by a team that builds and questions its own tools.
OUR APPROACH
Underwater sound carries evidence of vessel activity. We build systems that turn that evidence into information an operator can inspect — from acoustic detection to research into individual vessel identity.
01 / DETECTION · OPEN SOURCE
Our open-source detection system connects hydrophone recordings, acoustic classification and maritime context. It began with the problem of illegal fishing and remains grounded in evidence that can be reviewed.
Explore the system02 / IDENTITY · IN DEVELOPMENT
Our research into acoustic identity asks what makes a vessel recognizable across recordings and conditions. VESPER is in development, building on the signal-processing foundation of SOFAR AI.
Explore the researchTHE PEOPLE / SOFAR AI
Machine Learning · Signal Processing
Machine learning engineer with a focus on AI. Built the Ocean Sentinel CNN from scratch — 2.4M parameters, 96.4% detection accuracy.
Product · Systems · Design
Works across systems, design, and product. Architected the data pipeline, built the live dashboard, and shaped the full product experience from the ground up.