02/09/2026
🌊 How do you move a machine learning application from development toward reliable use in practice? That challenge was at the heart of Aditya Dhinavahi’s EngD final project at JADS: OceanGuard: Taking the MLOps Route to Production.
Aditya carried out his project within MARIT-D, a European collaboration focused on the fight against maritime trafficking. MARIT-D developed a data-driven tool to monitor unusual shipping movements and help law enforcement agencies identify suspicious activity.
Within this context, Aditya explored the MLOps route toward bringing a machine learning application into an operational environment.
This week, he successfully presented the results of his work and completed an important milestone in his EngD journey.
Congratulations, Aditya! 🎓