Nidhi Sharma
About Nidhi Sharma
Nidhi Sharma is a Backend Engineer with experience at CleverTap, Paisabazaar, Aristocrat, and ShopClues. She specializes in optimizing system performance and data management through strategic initiatives and in-depth analysis.
Work at CleverTap
Nidhi Sharma has been employed at CleverTap as a Backend Engineer since 2022. In this role, she has developed a strategic penalty mechanism within the LogProcessor micro-service. This initiative aims to mitigate the impact of underperforming service hosts, thereby enhancing the overall performance and reliability of the system. Additionally, she has spearheaded efforts to streamline data storage by purging inactive client records across various platforms, including AWS S3 and CleverTap’s in-memory database.
Previous Experience at Paisabazaar
Before joining CleverTap, Nidhi Sharma worked at Paisabazaar as a Software Engineer from 2019 to 2020 for 11 months. During her tenure in Gurugram, Haryana, she conducted an in-depth analysis of the in-memory database, Eventstore. This analysis focused on refining the profile deletion process, making it more efficient and less time-consuming for bulk actions.
Background in Software Engineering
Nidhi Sharma has a diverse background in software engineering, having worked at multiple organizations. She served as a Senior Software Engineer at Aristocrat from 2020 to 2021 for 8 months and as a Software Engineer at ShopClues from 2016 to 2017 for 1 year. Her experience spans various roles and responsibilities, contributing to her expertise in backend development.
Education and Expertise
Nidhi Sharma completed her education at Minerva Public School Bilaspur (H.P) and pursued a Bachelor of Technology (BTech) in Computer Science. This educational background has equipped her with the foundational knowledge and skills necessary for her career in software engineering, particularly in backend development.
Technical Contributions
Throughout her career, Nidhi Sharma has made significant technical contributions. She undertook a comprehensive code review of the LogProcessor using AWS CodeGuru, focusing on optimizing CPU usage, heap usage, and latency. This effort has led to a notable enhancement in service performance, reflecting her commitment to improving system efficiency.