Sharanya Ramidi

Machine Learning Engineer at Wondeur Ai

Sharanya Ramidi has a diverse work experience spanning multiple companies and roles. Sharanya began their career in 2013 as a Junior Research Engineer at Shirvanthe Technologies, where they assisted in testing the Test-Set for the Jaguar and helped in the preparation of technical documents. In 2013, they also joined IR Technologies as a Software Engineer, where they developed and designed software for medical instruments. Their responsibilities included demonstrating solutions through charts, layouts, and diagrams. In 2016, they joined 9SM as an Embedded Engineer and Business Analyst, where they worked on designing, coding, and testing embedded projects. Sharanya also developed code in C and Assembly Language for embedded controllers. Most recently, in 2018, they joined Wondeur Ai as a Machine Learning Engineer, contributing to the analysis of drivers of value in the art world and utilizing AI technology.

Sharanya Ramidi has a diverse educational background. Sharanya began their academic journey at Sri Chaitanya Junior Kalasala from 2006 to 2008, where they completed their secondary education with a focus on Mathematics, Physics, and Chemistry. Following this, from 2008 to 2012, they attended Careers for Engineering Students, earning a Bachelor's degree in Electronics and Communication Technology.

Sharanya then pursued a Master's degree in Social Work from Karnataka State Open University, Mysore, from 2013 to 2015. To further expand their knowledge and skills, they studied French Language and Literature at Osmania University from 2014 to 2016, obtaining a Diploma in this field.

Their educational journey continued with a post-graduate degree in Embedded Systems and Engineering Design from Lambton College, which they pursued from 2016 to 2018.

Overall, Sharanya Ramidi has completed a secondary education, a Bachelor's degree, a Master's degree, and a post-graduate degree, with specialization in various fields ranging from Mathematics and Physics to Social Work and Embedded Systems.

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