I'm an AI Engineer & Software Architect with 10+ years building production software, and the last two focused on LLM applications, agentic AI, and retrieval-augmented systems. My background spans C#/.NET and Python/Django — I've shipped banking gateways, interbank payment systems, computer-vision platforms, and insurance software for banks, telecoms, retail chains, and insurers across six companies in Iran. I now design AI-native architectures at an insurance technology company, building on that domain foundation. I hold an M.Sc. in Artificial Intelligence and Robotics and have published two peer-reviewed papers in deep learning and computer vision. I've also taught software engineering to undergraduates at two institutions and translated three technical books into Persian, so I'm as comfortable explaining a system as building one. Outside of work, I'm usually hiking, listening to a podcast, or reading up on whatever's new in AI. Always happy to connect with people working on interesting problems in this space.
Dotin/Riton
Navaco
Freelancer
Paya Communication Industries
Instructor Shamsipour Technical and Vocational College
Instructor Enghelab Technical and Vocational College
Iranian Reinsurance - Back End Developer
Islamic Azad University, South Tehran Branch (major of study is AI)
Islamic Azad University, North Tehran Branch (major of study is Software)
Journal of Positive School Psychology - ISSN 2717-7564
Neuro Quantology - ISSN 1303-5150
As Instructor /Tarbiat Modares University
Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects.
This book is highly recommended for a graduate course in modeling and simulation. It is also recommended for an introductory course in modeling and simulation for a senior undergraduate course. In addition, it can be a good reference for researchers, working engineers and scientists who work in modeling and simulation and optimization. It is a good addition to the field of modeling and simulation. I hope you will enjoy the book as much as I have enjoyed reviewing it.
Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you About This Book - Step into the amazing world of intelligent apps using this comprehensive guide - Enter the world of Artificial Intelligence, explore it, and create your own applications - Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time Who This Book Is For This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code.