Summary
Arya Iranmehr is a Principal Scientist based in San Diego with 11 years of experience applying machine learning, optimization, and statistics to production-scale problems across finance, genomics, EHR, NLP, and computer vision. He has a PhD in Machine Learning from UC San Diego and a track record of building end-to-end pipelines and TB-scale ETL/modeling workflows on AWS and PySpark. Arya has worked at the intersection of research and product at organizations including Facebook and Intuit, leading cross-functional efforts with engineers, clinicians, legal, and product teams to translate complex data into deployable solutions. He specializes in handling diverse data modalities (cross-sectional, time-series, longitudinal, and interventional) and designing robust validation and training systems for large heterogeneous datasets. Notably, he moves fluidly between prototyping research ideas and operationalizing them into scalable production workflows.
11 years of coding experience
14 years of employment as a software developer
MSc. Computer Science, MSc. Computer Science at Shiraz University
University of California, San Diego
Persian, English