About
Hamza Tahir is a co-founder of ZenML, the open-source framework for robust AI workflows. He helps teams engineer reliable, portable pipelines—from classical ML to agentic chains—by decoupling workflow logic from the underlying infrastructure. Hamza has architected dozens of production lifecycles with stringent latency and compliance constraints, focusing on the critical "connective tissue" that makes or breaks AI in production. He is obsessed with solving the unglamorous workflow challenges: managing warm state, ensuring rollback safety, and maintaining granular lineage across complex, distributed executions.