Leila H. Tanyani

• Focused on learning, practicing, and testing the basic conceps as well as the tools in the area.
• Worked on designing methods and strategies to have a custom system to work with.
• Applied the methods in the real-world situation for analyzing the results and performance.

• In a team of 15, contributed to analyzing, designing, and developing new and exciting features for the GM Android Auto.
• Regularly tested and debugged the software being developed on the GM-specific hardware to deliver a high-quality outcome.
• Assisted in optimizing the software performance by utilizing the asynchronous software development mechanisms, e.g., Java threads.
• As part of the team work, participated in code reviews to enhance code quality, and provide and share best practices among team members.
• Actively participated in the team presentations to discuss the ongoing task among team members and have the final version scored and passed based on the company's develpment standards.

• Efficiently designed, developed, and tested a functional Android app aimed at helping students find private tutors at any level of their education.
• Analyzed and designed efficient and optimized SQLite databases.
• Actively collaborated with a team of 4 to layout, design, and implement unique features and interactive user interfaces.

(Completed 3 years of the program)

• Researched in the field of high-performance computing, and parallel and distributed processing.
• Used C/C++ and CUDA to develop efficient algorithms for large-scale clusters.
• As a course project, designed and developed an exciting AI and machine learning project on the EMG data using Python.

• Master’s thesis examined the implementation of image processing algorithms on the reconfigurable Field Programmable Gate Arrays (FPGAs).
• courses taken

- Advanced Computer Architecture, Advanced VLSI, Computer Network Security, Advanced Operating Systems, Hardware Description Languages (VHDL), Wireless Sensor Networks, Video Coding