Summary
Alireza Hashemi is a PhD candidate in Physics and adjunct lecturer in New York who applies graph machine learning and deep learning to real-world problems across fintech, media, and neuroimaging. As a founding data scientist at blubank he built production pipelines, Neo4j graph solutions and CNN-based identity verification systems for a user base exceeding two million, and later prototyped vector search and user clustering at The New York Times. His research internships at Memorial Sloan Kettering and academic work center on complex network analysis of brain connectivity, bridging rigorous scientific methods with applied ML. Comfortable moving between data engineering (Airflow, GCP), graph databases, and model development, he communicates technical results to business stakeholders and values social impact. A translator of scientific books with a physics-first mindset, he brings a rare mix of academic depth and hands-on product engineering.
3 years of coding experience
3 years of employment as a software developer
Highschool Diploma, Highschool Diploma at National Organization for Development of Exceptional Talents (Sampad)
Doctor of Philosophy - PhD Physics, Doctor of Philosophy - PhD Physics at The City University of New York
Bachelor of Science - BS Physics, Bachelor of Science - BS Physics at University of Zanjan
Master of Science - MS Physics, Master of Science - MS Physics at Sharif University of Technology
English, Persian, Turkish