Summary
Anahita Hassanzadeh is a Senior Manager leading Lyft’s global AI/ML Platform & Experimentation organization, with 12 years of experience turning research-grade models into production at massive scale. She builds high-performance runtimes, MLOps practices, and rigorous causal inference frameworks that enable product teams to deploy reliable AI agents and precisely measure their impact. Previously she led pricing science at Lyft—launching reinforcement learning applications and operationalizing dynamic, strategic-aware pricing that materially moved marketplace outcomes. Her background spans optimization-heavy roles across Stitch Fix, The Climate Corporation, and Oracle, combining spatial ML, operational research, and real-time decision systems. She holds advanced training in operations research and is known for shipping practical auto-tuning and experimentation tooling that bridge model accuracy with operational robustness. Based in the Bay Area, she blends scientific rigor with infrastructure-first thinking to drive measurable business outcomes from ML.
12 years of coding experience
9 years of employment as a software developer
Amirkabir University of Technology
Doctoral, Operations Research, Industrial Engineering, Doctoral, Operations Research, Industrial Engineering at Lehigh University