Nitish K.
About Nitish K.
Nitish K. is an Application Support Engineer II currently employed at Cvent in Gurugram, Haryana, India. He has a background in Information Technology, with experience at Infosys and Sopra Steria, and possesses strong analytical skills and expertise in UNIX, Shell Scripting, and ITIL processes.
Current Role at Cvent
Currently, Nitish K. serves as an Application Support Engineer II at Cvent, a position he has held since 2021. In this role, he is responsible for diagnosing and resolving complex technical issues related to application support. His work is based in Gurugram, Haryana, India, where he applies his analytical skills to enhance service delivery and improve operational efficiency.
Previous Experience at Sopra Steria
Nitish K. has held multiple roles at Sopra Steria. He worked as a Senior Software Engineer for 8 months in 2021 and previously served as a Software Engineer from 2019 to 2020. In these positions, he contributed to software development and application support, utilizing his technical skills to address various challenges in the Noida Area, Uttar Pradesh, India.
Internship at Infosys
Nitish K. began his professional journey with an internship at Infosys in 2017, where he worked for 4 months in the Mysuru Area, India. This experience provided him with foundational knowledge in IT processes and practices, which he later built upon in his subsequent roles.
Educational Background in Information Technology
Nitish K. earned his Bachelor of Engineering (BE) degree in Information Technology from Panjab University, Chandigarh. His studies spanned from 2013 to 2017, equipping him with essential knowledge and skills in the field of IT, which he has applied throughout his career.
Technical Skills and Expertise
Nitish K. possesses expertise in UNIX and Shell Scripting, which are vital for managing and troubleshooting application support issues. He is also familiar with ITIL processes, enhancing the efficiency of IT service management. Additionally, he has experience using Splunk for monitoring and analyzing machine-generated data, contributing to proactive issue detection and resolution.