Kshitiz Sharma

Kshitiz Sharma

Senior Software Engineer @ KPMG India

About Kshitiz Sharma

Kshitiz Sharma is a Senior Software Engineer at KPMG India, specializing in machine learning and automation engineering. He has experience in database management, cloud computing, and server technologies, with a background that includes roles at Microsoft and Protiviti Technology.

Work at KPMG India

Kshitiz Sharma currently serves as a Senior Software Engineer at KPMG India. He has been in this role since 2022. His work involves contributing to machine learning projects within the framework of automation engineering. His responsibilities include leveraging his technical skills to enhance operational efficiency through automation.

Experience at Microsoft

Prior to his role at KPMG, Kshitiz Sharma worked at Microsoft as a Server Administrator from 2018 to 2019. During this time, he gained experience with server technologies, specifically Windows Server versions 2012, 2016, and 2019. His role involved managing server operations and ensuring optimal performance.

Professional Background at Protiviti Technology

Kshitiz Sharma worked at Protiviti Technology as an Automation Engineer from 2019 to 2022. In this position, he focused on automating processes, which contributed to improved efficiency within the organization. His experience in this role laid the groundwork for his current position at KPMG.

Education and Expertise

Kshitiz Sharma holds a Bachelor of Technology (BTech) degree in Computer Science from Galgotias College of Engineering and Technology, Greater Noida. He completed his studies from 2013 to 2017. His educational background supports his expertise in database management, machine learning, and cloud computing, particularly with Azure services.

Technical Skills and Specializations

Kshitiz Sharma possesses a range of technical skills relevant to his roles. He has experience in database management using MongoDB and SQL. Additionally, he specializes in automating processes using PowerShell and REST API, which enhances his contributions to machine learning projects and automation engineering.

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