Ander Corral is an NLP researcher and engineer with nine years of experience specializing in machine translation and large language models, particularly for low-resource languages. He spans the full pipeline from data curation and model training to deploying production-ready systems, currently advancing research at Orai NLP Teknologiak after four years at Elhuyar. Ander contributes to prominent open-source tooling—most notably improving core vocabulary handling, feature support, and inference stability in the widely used OpenNMT-py framework—reflecting deep practical knowledge of model internals. Trained at UPV/EHU in computer engineering and intelligent systems, he combines academic rigor with a pragmatic focus on real-world impact and robustness. A detail that sets him apart is his hands-on commitment to making MT work reliably from checkpoints through validation, not just in experiments but in production deployments.
8 years of coding experience
4 years of employment as a software developer
Master en Computación y Sistemas Inteligentes, Master en Computación y Sistemas Inteligentes at UPV/EHU
Open Source Neural Machine Translation and (Large) Language Models in PyTorch
Role in this project:
ML Engineer
Contributions:28 reviews, 7 commits, 24 PRs in 10 months
Contributions summary:Ander primarily contributed to the core functionality of the OpenNMT-py project, focusing on updating and improving vocabulary handling and feature processing within the neural machine translation framework. They implemented changes to support vocabulary updates from checkpoints and enhanced feature support for source inputs, indicating a deep understanding of the model's architecture. Their work also included improvements to inference and fixes related to validation processes, furthering the project's stability and usability.
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Ander Corral - NLP Researcher at Orai NLP Teknologiak