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pedram salehpoorPS
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pedram salehpoor

@pedramsalehpoor

I build and evaluate AI models for graph learning, NLP, optimization, and scientific data.

Iran
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What I'm looking for

I'm looking for remote or contract opportunities as a Research Scientist, Applied Scientist, Machine Learning Researcher, Research Engineer, LLM/AI Evaluation Researcher, or AI Research Consultant.

At the University of Tabriz, I conduct AI and computer science research spanning machine learning, deep learning, and intelligent computational systems. I design and evaluate models for structured and unstructured data, then translate findings into scientific publications and technical reports.

My research includes graph representation learning, deep learning, natural language processing, large language models, computer vision, reinforcement learning, and optimization. I've developed experimental frameworks and reproducible training and evaluation pipelines for comparing machine-learning and deep-learning architectures.

I also work independently on AI and blockchain research and consulting, assessing applications in financial technology, digital assets, analytics, automation, and data-driven business processes.

Alongside research, I teach Artificial Intelligence, Machine Learning, Deep Learning, Data Science, and related subjects, while supervising undergraduate, master's, and doctoral AI research projects.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

University of Tabriz logoUT

University of Tabriz

Doctor of Philosophy, Electronic Engineering

Ph.D. in Electronic Engineering from the University of Tabriz, completed in 2016.

University of Tabriz logoUT

University of Tabriz

Master of Science, Computer Science

M.Sc. in Computer Science with a focus on Intelligent Systems from the University of Tabriz, completed in 2010.

University of Tabriz logoUT

University of Tabriz

Bachelor of Science, Computer Science

B.Sc. in Computer Science from the University of Tabriz, completed in 2008.

Tech stack

Software and tools used professionally

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