Support integration of open-source biological ML models onto GPU-based infrastructure, containerize and deploy models, optimize performance (distributed training, data loading, GPU utilization), collaborate with researchers, and produce documentation and APIs to enable biotech researchers to use models effectively.

Lead platform architecture, development, and reliability for an AI-driven molecular discovery product. Build agentic workflows, full-stack UI features, integrate Console/Builder/Solutions apps, and implement API integrations with sequence and assay providers to support model training, deployment, and researcher workflows.