Ram Kumar Karnataka

Ram Kumar Karnataka

Sr Advanced Software Engineer @ Scientific Games

About Ram Kumar Karnataka

Ram Kumar is a Senior Advanced Software Engineer at Scientific Games, specializing in cloud-native SaaS solutions and machine learning technologies. He has a diverse background in software development and holds an MBA and a B.Tech in Computer Science.

Work at Scientific Games

Ram Kumar has been employed at Scientific Games since 2021 as a Senior Advanced Software Engineer. His role involves developing cloud-native SaaS solutions on AWS, which highlights his expertise in cloud computing and software architecture. Prior to his current position, he worked at Scientific Games from 2010 to 2018, where he held various roles including Lead Software Engineer and Senior Software Engineer. His extensive experience within the company spans over a decade.

Previous Employment Experience

Before joining Scientific Games in his current role, Ram Kumar worked at several notable organizations. He served as a Senior Software Engineer at UnitedHealth Group for six months in 2020. He also held the position of Engineering Manager at Everi Holdings Inc. for three months in 2020. Additionally, he worked at Honeywell Technology Solutions as a Senior Engineer from 2005 to 2010, accumulating five years of experience in the field.

Education and Expertise

Ram Kumar holds a Master of Business Administration (M.B.A.) in International Business from Pondicherry University, which he attended from 2006 to 2008. He also earned a Bachelor of Technology (B.Tech.) in Computer Science from Acharya Nagarjuna University, studying from 2001 to 2005. Furthermore, he completed a Post Graduate Diploma in Intellectual Property Rights at the National Academy of Legal Studies & Research (NALSAR) University Hyderabad from 2007 to 2008.

Technical Skills and Specializations

Ram Kumar possesses a diverse technical skill set, proficient in developing applications using C#, .NET Core, ASP.NET, React, Python, SQL Server, and MySQL. He has experience in building machine learning models for computer vision utilizing PyTorch and TensorFlow. His background indicates a strong foundation in artificial intelligence and machine learning technologies, showcasing his versatility in software development.

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