Javier Sánchez is a Machine Learning Engineer with nine years of experience bridging academic research and production speech-translation systems, currently on Apple's ML team after shaping AppTek’s Speech Translation product line. He holds a PhD (cum laude) from Universitat Politècnica de València and spent much of his career advancing streaming speech translation—turning research prototypes into deployed models across more than ten language pairs. Javier has published at top ASR/MT venues, won the WMT19 Spanish↔Portuguese task, and built data-filtering and LLM-augmentation techniques that cut training time and reduced translation length mismatches in production. Comfortable across research and engineering, he also fine-tuned LLMs for niche tasks like foreign named entity detection and dialect identification, achieving high F1 scores, and supervised award-winning student projects. Based in the Barcelona area, he combines rigorous academic training with hands-on productization experience in real-time speech systems.
Contributions:2 pushes, 1 branch in 2 years 3 months
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