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Mohammed Shovan OsmanpoorMO
Open to opportunities

Mohammed Shovan Osmanpoor

@mohammedshovanosmanp

Machine Learning Engineer at Azhin AI who designed and implemented its Deep Reinforcement Learning engine for personalized learning.

Iran
Message

What I'm looking for

I'm particularly interested in remote Machine Learning Engineer and Applied AI opportunities.

At Azhin AI, I defined the product vision and independently designed and implemented the core Deep Reinforcement Learning engine for a personalized adaptive learning platform. I used Python, TensorFlow/Keras, and Discrete Soft Actor-Critic, integrating learning-science concepts such as the Ebbinghaus forgetting curve to support personalized study planning.

I translated Ph.D. research concepts into a web product deployed on a production server and domain, and coordinated work across AI/ML, backend/database, and UI/UX contributors. I also teach university-level courses at Payame Noor University and previously developed and maintained organizational software at the National Organization for Civil Registration.

Experience

Work history, roles, and key accomplishments

PU
Current

University Lecturer

Payame Noor University

Aug 2013 - Present (13 years 2 months)

Teach university-level courses and communicate software engineering, programming, and computer science concepts. Apply long-term software engineering and computer science experience in academic instruction.

NR

Software Engineer

National Organization for Civil Registration

Jul 2014 - Jan 2020 (5 years 6 months)

Developed and maintained organizational software using C#, ASP.NET, SQL Server, and related .NET technologies. Built practical experience in application development, databases, and software systems in a government environment.

Education

Degrees, certifications, and relevant coursework

IB

Islamic Azad University, Sanandaj Branch

Ph.D., Computer Engineering

Currently pursuing a Ph.D. in Computer Engineering with a research focus on personalized adaptive learning using Deep Reinforcement Learning and Discrete SAC.

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