yazan ashour
@yazanashour
I build grounded AI systems for retrieval, summarization, evaluation, and speech understanding.
What I'm looking for
I've built AI systems for a Reuters-style search engine, including a summarization module for text, image, and voice queries. I compared LLM summarizers, enforced structured outputs with Pydantic, added fallback parsing, and developed groundedness and evaluation pipelines within a hybrid-search RAG workflow.
I've also fine-tuned Mistral-7B-Instruct for automatic essay grading, achieving 0.6868 MAE and 0.8227 Pearson correlation across a dataset I constructed. For audio emotion recognition, I developed a ResNet18 model using log-Mel spectrograms that achieved 80.2% test accuracy on RAVDESS.
I'm a final-year Computer Science student at An-Najah National University, focused on reliable, scalable, and grounded AI systems using Python, PyTorch, TensorFlow, HuggingFace, and Elasticsearch.
Experience
Work history, roles, and key accomplishments
AI/ML Engineer
Yazan Ashour
Final-year Computer Science student specializing in AI, ML, NLP, and IR, with experience in building end-to-end AI systems including LLM fine-tuning, RAG, and evaluation frameworks.
Education
Degrees, certifications, and relevant coursework
An-Najah National University
Bachelor of Science, Computer Science
2022 -
Pursuing a Bachelor of Science in Computer Science with a focus on Artificial Intelligence, Machine Learning, NLP, and Information Retrieval.
Udacity
Nanodegree, Machine Learning
Completed the Intro to Machine Learning with TensorFlow Nanodegree, covering foundational machine learning concepts and TensorFlow.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Website
github.com/Yazan-AshourJob categories
Skills
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