Amir Mansoor Kamali Sarvestani

Staff Data Scientist @ Joby Aviation

About Amir Mansoor Kamali Sarvestani

Amir Mansoor Kamali Sarvestani is a Staff Data Scientist at Joby Aviation, with extensive academic qualifications in computer science and engineering. He has a strong background in database management, programming languages, and machine learning techniques.

Work at Joby Aviation

Amir Mansoor Kamali Sarvestani has been employed as a Staff Data Scientist at Joby Aviation since 2022. He works remotely and contributes to the company's data science initiatives. His role involves applying his expertise in machine learning and data analysis to support the development of innovative aviation technologies.

Education and Expertise

Amir holds multiple degrees in computer science and engineering. He earned a BSc in Computer Engineering from Amirkabir University of Technology - Tehran Polytechnic, followed by an MSc in Computer Engineering from Shiraz University. He completed two PhDs in Computer Science, first at the University of Sheffield and then at the University of York. His educational background provides a strong foundation in database management systems, programming languages, and machine learning techniques.

Background

Amir's educational journey began at Alborz High School, where he focused on Maths and Physics. He then pursued a BSc in Computer Engineering, followed by an MSc, and subsequently two PhDs in Computer Science. His academic experience spans over a decade, during which he developed a robust understanding of various programming languages, database systems, and software design processes.

Professional Experience

Prior to his current role at Joby Aviation, Amir worked as a Data Scientist at Nike for five months in 2022 and as a Machine Learning Engineer at Humana for six months in 2021. His professional experience encompasses a range of roles that leverage his skills in data analysis, machine learning, and software development.

Technical Skills

Amir possesses a diverse skill set that includes proficiency in programming languages such as Python, SQL, Java, C/C++, and JavaScript. He has a strong background in database management systems, particularly Oracle and MySQL. Additionally, he is experienced in web technologies like HTML, CSS, and JQuery, and utilizes unit testing as part of his software design processes.

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