Reza Qorib
Post-Doctoral Fellow at Carnegie Mellon University
Pittsburgh, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolReza Qorib is a Post-Doctoral Fellow and NLP researcher with 11 years of experience bridging academic research and industry applications in machine learning and neural networks. He completed a PhD at the National University of Singapore and has held research and teaching roles there before joining Carnegie Mellon University, demonstrating a strong track record in both student mentorship and publishing. His industry experience includes building production ML systems at Bukalapak—where he delivered fraud detection and merchant reliability models and earned recognition for business insights—and developing domain-specific speech recognition for Indonesian medical use. Equally comfortable with backend-to-frontend engineering from early internships, Reza blends practical product impact with deep technical rigor in NLP, often focusing on real-world deployments and cross-disciplinary collaboration.
11 years of coding experience
2 years of employment as a software developer
Bachelor of Technology (B.Tech.), Computer Science, Bachelor of Technology (B.Tech.), Computer Science at University of IndonesiaShort Course, Strategic Management, Grade: A, Short Course, Strategic Management, Grade: A at Hanyang UniversityDoctor of Philosophy - PhD, School of Computing, Doctor of Philosophy - PhD, School of Computing at National University of Singapore
Indonesian, English
Github Skills (57)
machine-translation10
pytorch10
artificial-intelligence10
named-entity-recognition10
python10
acl10
computational-linguistics10
phonetics10
ai10
sequence-to-sequence10
machine-learning9
natural-language-processing9
transfer-learning8
error-correction8
deep-learning8
Programming languages (7)
Github contributions (5)
mrqorib/group-forming
Jun 2022 - Feb 2023
A script to combine smaller groups into bigger groups
Contributions:4 reviews, 1 PR, 2 pushes in 8 months
nusnlp/greco
Oct 2023 - Jan 2026
The official code for the "System Combination via Quality Estimation for Grammatical Error Correction" paper, published in EMNLP 2023.
Contributions:2 pushes, 1 branch, 3 comments in 2 years 3 months
error-correctiondeep-learningensemble-modelgecgrammatical-error-correction
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