Summary
Nazanin Alipourfard is a Machine Learning Engineer with 11 years of experience building production ML systems and a PhD candidate in Computer Science at USC. She has driven on-device ML and search ranking at Apple, foundational ads prediction models at Twitter, and now works on ML at Google, combining research rigor with product-focused engineering. Her background spans backend systems, data warehousing, and revenue science, reflecting strength in both infrastructure and modeling for high-scale consumer and ads products. With a Google Scholar profile and ongoing academic work, she bridges cutting-edge research and applied ML in industry. Based in Los Angeles, she brings a rare mix of deep academic training and hands-on experience shipping ML features at major tech platforms. Notably, her career includes early backend work at Cafe Bazaar and multiple impactful internships that shaped her cross-disciplinary expertise.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at University of Southern California
Bachelor of Science (BS) Computer Software Engineering, Bachelor of Science (BS) Computer Software Engineering at Sharif University of Technology