Kanishka Mankar

Kanishka Mankar

Deep Learning Engineer @ Flux Auto

About Kanishka Mankar

Kanishka Mankar is a Deep Learning Engineer at Flux Auto in Bengaluru, Karnataka, India, where he has worked since 2022. He holds a Bachelor's degree in Computer Science from Shri Sant Gajanan Maharaj Engineering College and has previous experience as a Software Engineer at Persistent Systems and an intern at Harrier Information System Pvt. Ltd.

Work at Flux Auto

Kanishka Mankar has been employed at Flux Auto as a Deep Learning Engineer since 2022. In this role, he focuses on developing and implementing deep learning models to enhance the company's automotive technologies. His work contributes to the advancement of artificial intelligence applications within the automotive sector. Flux Auto is known for its innovative solutions in the automotive industry, and Mankar's expertise plays a vital role in driving these initiatives forward.

Previous Experience at Persistent Systems

Before joining Flux Auto, Kanishka Mankar worked as a Software Engineer at Persistent Systems from 2021 to 2022. During his tenure, he contributed to various software development projects, applying his knowledge of computer science to solve complex problems. This experience provided him with a solid foundation in software engineering practices and methodologies, which he later utilized in his deep learning role.

Internship at Harrier Information System Pvt. Ltd.

Kanishka Mankar completed a nine-month internship at Harrier Information System Pvt. Ltd. in 2020. This internship allowed him to gain practical experience in the field of information systems. He worked on projects that enhanced his technical skills and provided insights into the workings of the software industry. The experience was instrumental in shaping his career path in technology.

Education in Computer Science

Kanishka Mankar earned his Bachelor's degree in Computer Science from Shri Sant Gajanan Maharaj Engineering College, Shegaon. He studied there from 2017 to 2021. His education provided him with a comprehensive understanding of computer science principles, programming languages, and software development techniques. This academic background laid the groundwork for his subsequent roles in the technology sector.

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