Rexhina Blloshmi is a Senior Applied Scientist at Amazon AGI with eight years of experience bridging academic research and production machine learning. She holds a PhD in Computer Science from Sapienza Università di Roma and transitioned from doctoral research to applied ML roles at Amazon Alexa and Amazon AGI across Berlin and Barcelona. Her work focuses on turning advanced ML research into scalable, real-world systems, with a background that spans from software development to voice AI. Fluent in both research rigour and engineering delivery, she excels at shipping models that meet product constraints and deployment requirements. Based in Barcelona, she brings an international perspective shaped by study and work across Italy, Germany and Albania. A machine learning scientist by training, she combines deep technical expertise with practical engineering instincts that accelerate lab-to-production impact.
8 years of coding experience
7 years of employment as a software developer
High School General Studies, High School General Studies at Mehmet Akif College
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Sapienza Università di Roma
Bachelor's degree Business Informatics, Bachelor's degree Business Informatics at Epoka University
XL-AMR is a sequence-to-graph cross-lingual AMR parser that exploits transfer learning (EMNLP2020).
Contributions:29 commits, 16 pushes in 1 year 3 months
nlpsequenceamr-parsingtranslationscross-lingual
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