Courses: Deep Learning, Performance Optimization of Computer Systems, Artificial Intelligence

Courses: Principles of UX, Human Centered Design

• Developed an Automated Test Environment for testing Custom Linux Distributions using Flask Framework,

  Python and Bash

• Reduced maintenance overhead with partially migrating the Test Environment to Google Cloud after doing a comparative research about cloud providers considering company’s business and technical priorities
• Designed, developed, and collaborated on numerous custom internal tools such as Monitoring Tools and an Internal DMS by evaluating requirements to increase usability and efficiency by 35%
• Responsible for installing new Boards in Lab and maintaining Hosts and Test Targets
• Responsible for developing and implementing Automated Package Tests for Ubuntu releases

• Developed a Recipe Sharing Android Application as Client
• Deployed Back-end and Front-end Components of the Application using following Technologies: Apache Usergrid

  BaaS, Cassandra NoSQL Database, Elasticsearch and Apache Tomcat Web Server

Implemented and applied AlexNet, VGGNet, and a Custom CNN Model on facial images to compare their performance on gender detection. Achieved accuracy of 88-92%.

Built a system to scan a 3D mesh, plan, and run a robot manipulator using Python and ROS.

Safaei N, Safaei B, Seyedekrami S, Talafidaryani M, Masoud A, Wang S, Li Q, Moqri M

Safaei B, Safaei N, Masoud A, Seyedekrami S