Lead design, training, and deployment of large-scale ML models (LLMs, diffusion, GNNs). Own end-to-end training pipelines, distributed training, evaluation, and inference architecture. Collaborate with data and infra teams, drive reproducible model development, and provide technical leadership and mentorship from research through production.

Owns the architecture and implementation of Absentia Labs’ biomedical data platform. Designs schema-driven models, scalable batch and streaming pipelines, and cloud-native infrastructure supporting machine learning workflows. Establishes data quality, validation, provenance, lineage, and versioning practices while partnering with scientists, ML engineers, and product leads. Provides architectural leadership, mentorship, and guidance on performance, cost, scalability, and correctness.