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Ravish Kumar has a diverse work experience in the field of deep learning and software engineering. Ravish is currently working as a Deep Learning Engineer at Deeplite, where they are responsible for maintaining an open-source Pytorch-based deeplite-torch-zoo and working on hardware-aware neural architecture search. Ravish has also developed a custom model architecture for object detection. Prior to this, Ravish worked as a Curriculum Specialist at EnjoyAlgorithms, where they contributed to the development of educational materials.

Before that, Ravish worked at KPIT as a Technical Lead, where they automated the INCOSE rule violation detection process in textual requirements and successfully integrated the python backend with a requirement analyzer tool. Ravish also worked as a Software Engineer at KPIT, where they developed a deep-learning model to predict the State of Health and Remaining Useful Life of Lithium-ion Batteries for electric and hybrid vehicles. Ravish achieved a testing accuracy of 99.2% on unseen data.

Ravish's experience also includes working as a Software Engineer at KPIT, where they designed and implemented classification and regression algorithms using CNN layers and Image processing techniques. Ravish used the Udacity Simulator to generate training data and integrated the developed model with a virtual simulator for real-time performance. Ravish achieved a high accuracy rate of 91%.

Overall, Ravish Kumar has demonstrated strong skills in deep learning, software engineering, and curriculum development throughout their professional career.

Ravish Kumar began their education at Saraswati Vidya Mandir Purnea, where they completed their 10th-grade matriculation in the year 2011. Ravish then attended S.R.D.A.V. Public School Purnea from 2011 to 2013, where they obtained their 12th Intermediate degree in the field of Science.

After completing their secondary education, Ravish Kumar enrolled at Super 30 in 2013 to further their education in Mathematics and Science. However, no degree was mentioned for this institution.

In 2014, Ravish Kumar joined the Indian Institute of Technology, Kanpur, where they pursued a Bachelor of Engineering (B.Eng.) degree in Electrical and Electronics Engineering. Ravish successfully completed their undergraduate program in 2018.

Additionally, Ravish Kumar obtained various certifications throughout their educational journey. These include certificates such as Deep Learning Specialization, Sequence Models, Neural Networks and Deep Learning, Algorithmic Toolbox, and Machine Learning, all from Coursera. Ravish also received the Tech-Fest Certificate of Excellence from Techfest, IIT Bombay, the SCIENCE AND TECHNOLOGY COUNCIL certificate from Indian Institute of Technology, Kanpur, the Certificate of Appreciation from Counselling Service IIT Kanpur, the Academic Excellence Certificate from the Government of India, the Hindustan Pratibha Samman from Hindustan Press, and the Collage Bonafide certificate from Antaragni IIT Kanpur.