Software Development, AI Engineering, and cloud engineering for the purpose of Location Intelligence for Urban Mobility.

In this position, I was responsible to design an MLOps pipeline for web crawling using AI (NLP: Weak Supervision) & Python and design a RESTful API. The AWS services (ETL/Glue and Lambda Function) are designed and used in this position.

Institute Department of EE., Université Laval, Quebec City, Quebec, Canada Course Digital Communications, Graduate Course (22 Students) 2020 Position Teaching Assistant Course Information Theory, Graduate Course (12 Students) 2020 Position Teaching Assistant Course Python Programming (25 Students) 2018 Position Teacher Course MATLAB Programming (30 Students) 2016 Position Teacher Institute Department of EE., K.N. Toosi University of Technology, Tehran, Iran Course Wavelet and Parallel Processing, graduate course (30 students) 2011 Position Teaching Assistant Institute Department of EE., Shiraz University, Shiraz, Iran Course Linear Control, Undergraduate Course (30 students) 2008 Position Teacher Assistant Course Electrical Circuits, Undergraduate Course (30 students) 2008 Position Teacher Assistant

Project Summary:In this project, a Deep Learning model for discrimination of ZigBee devices in 5G communication system was designed. The main focus in this project was to design a model with high accuracy in classification of the rogue and authorized devices.My Role as a Team Member: ➢Data acquisition from real ZigBee devices ➢Dataset cleaning for processing purposes ➢Designing the appropriate Deep Neural Network (RNN and CNN) structures ➢Model implementing using Python (TensorFlow-GPU, Keras, TensorBoard) ➢Training, validating, and testing the designed model using GPU ➢Sharing the programmed designed structure on Git with other team members ➢Actively receiving the team member’s reports and reporting to the manager ➢Documenting the extracted results and submitting as journal papers (One of these papers is in press, now, in Annals of Telecommunications, Springer.)

Project Summary:In this project, an Android software was developed to inform the users in critical situations such as earthquakes, floods, and thunders. Here, a MySQL database of registered users were used to send large number of alert messages.My Role as a Team Member: ➢ GUI Implementation ➢ Read/Write the data to the SQLite or MySQL database ➢ Data sending and receiving between the client and server using HTTP/FTP ➢ Accessing the server using the HTTP methods (Get and Post) ➢ Accessing the web services through API and JSON ➢ I/O data transmission and read/write the data from/to the memory ➢ Sharing the implemented codes on the Git ➢ Actively checking the compatibility of the written codes by different team members before merging to the man project branch on the Git