Summary
Ahmed Aburaed is a Senior AI/ML Applied Scientist and PhD-trained computer scientist with 11 years of experience building production-grade NLP systems across startups, academia, and large tech companies. He designs and deploys advanced solutions—LLMs, RAG, ASR, TTS, and virtual assistants—focused heavily on healthcare applications like clinical document automation and patient-data extraction. Fluent in engineering across cloud-native stacks (Google Cloud, Kubernetes, AWS) and frameworks (Transformers, PyTorch, TensorFlow), he has led teams and data curation efforts that improved NLU and speech capabilities for products such as Siri. Comfortable working in English, Spanish, and Italian, he combines deep research (published work and automated scientific summarization) with practical deployment skills to drive measurable impact. Notably, he has translated complex clinical needs into scalable ML pipelines that surface actionable insights for research and care delivery.
11 years of coding experience
17 years of employment as a software developer
General Examination Board, Scientific Stream, 84.2, General Examination Board, Scientific Stream, 84.2 at King Talal School,
Doctor of Philosophy (PhD), Computer Science, Excellent, Cum Laude with an International Mention, Doctor of Philosophy (PhD), Computer Science, Excellent, Cum Laude with an International Mention at Universitat Pompeu Fabra
Bachelor in Information Technology., Computer Information Systems (CIS), 82.1, Bachelor in Information Technology., Computer Information Systems (CIS), 82.1 at An Najah National University
Master of Science (MS), Computer Science, Master of Science (MS), Computer Science at University of Trento
Italian, English, Arabic, Spanish