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Faezeh Safari

@faezehsafari

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I build hallucination-resistant AI systems for medicine, agriculture, and responsible deployment.

United Kingdom

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What I'm looking for

I'm looking to build responsible, robust AI systems for high-impact domains such as healthcare, scientific reasoning, and agriculture, while contributing to AI safety, causal methods, and research-led product development.

I'm pursuing a PhD in Computer Science and Artificial Intelligence at the University of Exeter, where I develop AI systems for safety, medicine, and scientific reasoning. My work spans hallucination-resistant medical visual question answering, clinical decision support, neuroimaging, and agriculture language models.

I developed CI-GCI, a causal-interventional grounding and counterfactual inpainting approach for medical VQA, achieving 93.45% on VQA-RAD, 81.25% on SLAKE, and reducing hallucination rates to 14.2%. I also co-develop domain-specific Small Agriculture Language Models connected to structured knowledge graphs for crop pathology diagnosis.

Across University of Exeter, Razi University, and industry ML engineering work, I've built PyTorch and TensorFlow pipelines for computer vision, NLP, and tabular data. I also teach computer science and machine learning, mentor students and researchers, and contribute research on NLP, causal grounding, connectome fingerprinting, and responsible AI.

Experience

Work history, roles, and key accomplishments

Current

Postgraduate Teaching Assistant

Current

University of Exeter

Sep 2025 - Present (1 year)

Mentoring undergraduate and postgraduate students in computer science, machine learning, and AI laboratory modules.

Mentorship Machine Learning AI Computer Science

Current

Research Associate (AI, NLP & Cognitive Systems)

Current

Razi University

Oct 2023 - Present (2 years 11 months)

Investigated transformer-based language representations, causal grounding, emotion/personality feature dynamics, and predictive modeling. Authored high-impact journal and conference papers across IEEE, Elsevier, Springer, and ACM venues.

Transformers NLP Causal Inference predictive modeling Research Writing

AI Expert & Technical Research Manager

Technical University of Kermanshah

Sep 2024 - Feb 2025 (5 months)

Led technical design and deployment of machine learning pipelines across multidisciplinary research initiatives. Supervised data engineering, experiment tracking, and model evaluation protocols; mentored junior researchers.

Machine Learning Data Engineering Experiment Tracking Model Evaluation Mentorship

AI & Machine Learning Engineer

Karlancer & Ponisha

Feb 2021 - Feb 2025 (4 years)

Designed and productionized PyTorch/TensorFlow models for computer vision, NLP, and tabular data pipelines.

PyTorch TensorFlow Computer Vision NLP Tabular Data

Lecturer in Computer Science

Razi University

Dec 2022 - Jan 2024 (1 year 1 month)

Delivered core undergraduate lectures on algorithms, Python programming, and data structures.

Teaching Algorithms Python Data Structures

Research Assistant

Razi University

Sep 2021 - Oct 2023 (2 years 1 month)

Conducted empirical ML experiments, statistical significance testing, and peer-review synthesis.

Machine Learning Statistical Testing Research

Data Science Intern

British Airways

Mar 2023 - Aug 2023 (5 months)

Implemented NLP clustering, LSTM modeling, and statistical hypothesis testing on large-scale text datasets.

NLP Clustering LSTM Hypothesis Testing

Education

Degrees, certifications, and relevant coursework

University of Exeter

Doctor of Philosophy, Computer Science and Artificial Intelligence

2025 -

Pursuing a PhD in Computer Science and Artificial Intelligence, with research focused on AI safety, large language models, and medical applications.

Razi University

Master of Science, Computer Engineering

2020 - 2022

Grade: 19.00/20.00

Completed a Master of Science in Computer Engineering with a focus on Artificial Intelligence and Robotics, graduating with first rank and exceptional talent.