Rishabh Shukla
About Rishabh Shukla
Rishabh Shukla is a Computer Vision and Machine Learning Developer at Invideo, where he has worked since 2018 in San Francisco, California. He specializes in developing intelligent video solutions and implementing advanced algorithms in the field of computer vision.
Work at InVideo
Rishabh Shukla has been employed at InVideo as a Computer Vision and Machine Learning Developer since 2018. In this role, he focuses on developing intelligent video solutions tailored for media companies. His work involves utilizing advanced computer vision and machine learning techniques to create innovative video content solutions. Rishabh's expertise includes implementing state-of-the-art algorithms and research findings in the field of computer vision, enhancing the capabilities of video content creation.
Previous Experience
Before joining InVideo, Rishabh Shukla held several positions in various organizations. He served as Chief Executive at Engage, a non-profit organization, from 2015 to 2016. Additionally, he worked as an Electronics Specialist at Silverhawk Financial for ten months in 2015. Rishabh also gained experience at Accenture, where he worked as an Application Development Analyst for one month in 2018 and as an Application Development Associate from 2016 to 2018. Furthermore, he was the Creative Head at IEEE from 2014 to 2015.
Education and Expertise
Rishabh Shukla earned a Bachelor of Engineering degree in Telecommunications, Engineering, and Electronics from Thakur College of Engineering and Technology, where he studied from 2012 to 2016. He also pursued further studies at Northeastern University. His educational background provides a strong foundation for his specialization in computer vision and machine learning, enabling him to implement advanced algorithms and contribute to innovative video solutions.
Technical Skills
Rishabh Shukla specializes in computer vision and machine learning, focusing on developing intelligent video solutions. His technical skills include the implementation of cutting-edge algorithms and research papers in the field of computer vision. Rishabh works on leveraging advanced machine learning models to create innovative video content solutions, showcasing his proficiency in applying theoretical knowledge to practical applications in the media industry.