Summary
Fajri Koto is an Assistant Professor in NLP at MBZUAI with 11 years of experience bridging academic research and industry practice. He holds a PhD in Engineering (NLP) from the University of Melbourne and has a strong publication record including multiple awards (ACL CSRR Best Paper, EACL Outstanding Paper, AACL Resource Paper) and keynote/panel invitations at ACL. His recent work centers on large language model evaluation and Arabic-centric LLM development (contributing to Jais and Amber LLM360), alongside multiple high-impact conference acceptances (NeurIPS, EMNLP, ICLR, ACL, NAACL, TACL). Before academia he spent over four years in industry roles at Samsung Research, KMKLabs and Amazon, bringing production-facing ML experience. He has secured substantial research funding and competitive grants (including a Dubai RDI grant and multi-year USD 900K project) and serves as area chair for major conferences. Colleagues describe him as a prolific collaborator who pairs deep theoretical insight with practical system-building across multilingual and discourse-aware NLP.
11 years of coding experience
7 years of employment as a software developer
Natural Sciences, 52.6/60.0, Natural Sciences, 52.6/60.0 at SMA N 1 Bukittinggi
28.6/30.0, 28.6/30.0 at SMP N 1 Bukittinggi
Master (M.Sc.), Computer Science, 3.72/4.00, Master (M.Sc.), Computer Science, 3.72/4.00 at Universitas Indonesia (UI)
The University of Melbourne
German, English, Indonesian