Summary
Alireza Sheikhattar is a Senior Data Scientist and ML researcher with a PhD in signal processing and nine years of experience applying statistical modeling, Bayesian inference, and optimization to real-world products and research. He currently drives product R&D for Apple Media Products, after building production ML pipelines for fraud detection and vehicle retention at Bird and developing anomaly-detection tools for infrastructure clients. His academic work produced scalable, adaptive causality and sparse system-identification methods for neural data, bridging high-dimensional inference, compressed sensing, and real-time algorithms. Comfortable moving models from theory to production, he combines deep expertise in time-series, signal processing, and causal inference with practical skills in Python, Spark, and SQL. An understated strength is translating complex neural-data methods into robust business-facing solutions, making him valuable at the intersection of computational neuroscience and product-driven ML.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD) Electrical Engineering Signal Processing, Doctor of Philosophy (PhD) Electrical Engineering Signal Processing at University of Maryland
Bachelor of Science (BS) Electrical Electronics and Communications Engineering, Bachelor of Science (BS) Electrical Electronics and Communications Engineering at Sharif University of Technology
English, Persian