Ali Mehran

During the bachelors degree I attended in various courses around computer engineering and science and develop deep interest in the subject specially on courses like, computer programming, computer architecture, compiler design, discrete mathematics, artificial intelligence, etc ...

I also was a member of university's ACM team. I could bach up the required skills because I used to engage in computer science olympiad courses during high school.

I was also member of tennis and badminton teams because I used to play those sports professionally before starting the university.

To highlight my academic background, research work and industry experience as an Autonomous Driving Software Engineer, in order to secure a position in a reputable organization where I can contribute my knowledge and skills towards the development of safe and efficient autonomous systems.

Education: I pursued my graduate studies in computer science at Bogazici University, which is one of the top-ranked universities in Turkey, and was ranked among the top 200 universities in the field of computer science worldwide at the time of my registration. During my studies, I was particularly interested in courses such as Principles of Artificial Intelligence, Mathematical Fundamentals of Artificial Intelligence, Speech Processing, Bio-metrics, Parallel Programming, Computer Network Design, Nano networking, Blockchain Programming, Principles of Database Systems, Concurrency Control and Recovery, Cognitive Science, Safety Validation of Autonomous Systems, and Fault Tolerant Programming.

Experience: My interest in Fault Tolerant Programming led me to pursue a career as an Autonomous Driving Software Engineer at ADASTEC Corporation in 2020. I have been actively engaged in developing a thesis on "Fusing prior data of HD-maps with onboard sensors, camera and Lidar" to develop a robust, fault-tolerant, and accurate perception module for an autonomous vehicle. I have contributed both academically and practically to the company by developing the mentioned module for a real autonomous car operating in a real-world scenario.

Currently, I am working on another thesis project titled "Design and Implementation of a Functional Monitoring System for Robotic Application". This project involves the development of a combined monitoring and verification module for an autonomous vehicle operating in a photo-realistic and real-world scenario simulation, with the aim of providing a real-time monitoring module for companies involved in the development of safe autonomous vehicles.

Skills: In addition to my academic background and research work, I have developed expertise in programming languages such as C++, Python, and Java, as well as in software development tools like Git, Jenkins, and Docker. I am also proficient in developing algorithms for machine learning, computer vision, and natural language processing, and have experience in working with deep learning frameworks such as TensorFlow, Keras, and PyTorch.

With my strong academic background, research experience, and industry expertise in the field of autonomous driving, I am confident in my ability to contribute towards the development of safe and efficient autonomous systems.