Afshin Rahimi is an applied scientist based in Melbourne with 11 years of experience bridging NLP, social network analysis and machine learning to solve real-world problems in emergency response and health informatics. He combines a strong academic background—PhD work on geolocation and multilingual NLP with publications at ACL/NAACL/EMNLP—with industry impact at Amazon, where he applies research to production problems. His career spans roles from building billion-URL crawlers and large-scale Hadoop systems to developing few-shot/zero-shot NER for dozens of low-resource languages, showing both systems and modeling depth. Known for exploiting structured and unstructured data jointly, he brings a pragmatic focus on turning linguistic insights into deployable solutions for high-stakes domains.
11 years of coding experience
9 years of employment as a software developer
The University of Melbourne
Master of Science (M.Sc.), Computational Linguistics, Master of Science (M.Sc.), Computational Linguistics at Sharif University of Technology
Contributions:22 commits, 18 pushes, 2 branches in 2 years 8 months
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