Pradeep Samji

Software Engineer at Syncro Medical

Pradeep Samji has a diverse and extensive work experience in the field of software engineering. Pradeep started their career at josts engineering in 2000 and worked there as a Software Engineer for three years. In 2003, they joined Elico Limited as a Software Engineer and continued in that role for two years. Then, from 2005 to 2009, they worked at Invensys - Acquired by Schneider Electric as a Software Engineer. Pradeep then joined Cognizant Technologies in 2009 and served as a Senior Software Engineer until 2010. In 2010, they joined OpenText as a Senior Software Engineer and worked there until 2012. Following OpenText, Pradeep became a Technical Specialist at United Technologies and served in that role from 2012 to 2016. In 2016, they transitioned to Sabre Airline Solutions, where they worked as a Software Development Consultant until November of the same year. Currently, Pradeep is employed as a Software Engineer at Syncro Medical, a position they have held since November 2016.

Pradeep Samji has a diverse education history spanning over several years. In 1995, they began their academic journey at Acharya Nagarjuna University, where they pursued a Bachelor's Degree in Electronics and Communications Engineering. This degree program lasted for four years, concluding in 1999.

After completing their undergraduate studies, Pradeep pursued further education in the field of Computer Science. Starting in 2011, they enrolled at Manipal Academy of Higher Education to pursue a Master's Degree. This program lasted for two years, culminating in 2013.

More recently, in 2020, Pradeep attended the Texas McCombs School of Business to undertake a Post Graduate Program specializing in Artificial Intelligence and Machine Learning. This program lasted for a year, ending in 2021.

Pradeep's education history demonstrates their commitment to expanding their knowledge and skills in various disciplines, including Electronics and Communications Engineering, Computer Science, and Artificial Intelligence and Machine Learning.

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