Infrastructure for managing GPU clusters for training/serving.
AI teams struggle to reliably schedule and allocate GPU resources for training and serving workloads, often dealing with hardware faults and inefficient cluster management.
Trainy Konduktor is a GPU cluster management and job scheduling platform that prioritizes workloads, controls resource allocation, and improves GPU reliability via a simple interface.
AI/ML engineering teams at companies running GPU clusters for model training and serving.
Studied CS & Mathematics at UC Santa Cruz. Led Audio team at Hive AI, where we trained and deployed 500M parameter-scale models to production.
Co-founder and CTO at Trainy building a training platform to make deep learning go faster. Previously a lead Machine Learning Engineer for Hive AI's object detection products. I completed my Physics Ph.D. UC Berkeley '22 where my thesis focused on applying computer vision and deep learning on nanoscience. Physics & Computer Science B.A. UC Berkeley '17.



