Summary
Amir Aghasadeghi is a Senior Software Engineer based in New York with 11 years of experience building performance-critical data systems, currently focusing on search relevance at Elastic. He previously optimized the query execution engine for Amazon Redshift at AWS and holds a PhD from NYU where his research centered on temporal graph databases, query processing, and billion-edge distributed systems. Amir blends deep research rigor with production engineering, shipping low-latency components for large-scale databases and search platforms. His background spans full-stack web development, machine translation research, and GIS work, giving him an unusual mix of applied systems and applied ML experience. Colleagues describe him as the kind of engineer who can pivot from theoretic query optimization to pragmatic production tuning without missing a beat.
11 years of coding experience
10 years of employment as a software developer
Graduate Student, Graduate Student at Drexel University
Bachelor of Science (B.S.), Bachelor of Science (B.S.) at Iran University of Science and Technology
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at New York University
Amirkabir University of Technology
High School Diploma, High School Diploma at Allameh Helli High School Alumni
Arabic, English, Persian