Rajashri Deshmukh
About Rajashri Deshmukh
Rajashri Deshmukh is a Staff Engineer at Altimetrik in Pune, India, with a strong background in software development and optimization. He has significantly reduced code duplication and improved performance metrics while mentoring junior colleagues and collaborating with quality assurance teams.
Work at Altimetrik
Rajashri Deshmukh has been employed at Altimetrik as a Staff Engineer since 2019. In this role, she has focused on enhancing code efficiency and has successfully reduced code duplication from 35% to 5% by overhauling code for four complex components. This improvement was verified by SonarQube. Additionally, she has collaborated with the QA team to ensure that front-end pages are developed with minimal defects, contributing to the overall quality of the software products.
Previous Experience at BNY Mellon
Before joining Altimetrik, Rajashri Deshmukh worked at BNY Mellon as a Senior Application Developer from 2014 to 2019. During her five years at BNY Mellon, she contributed to various projects and developed her skills in application development. This experience laid the foundation for her current role and expertise in software engineering.
Education and Expertise
Rajashri Deshmukh completed her Bachelor of Engineering in Information Technology at Savitribai Phule Pune University from 2010 to 2014. This educational background provided her with a solid foundation in technology and engineering principles, which she has applied throughout her career in software development.
Mentorship and Collaboration
In her current position, Rajashri Deshmukh actively mentors junior colleagues by sharing coding best practices and providing constructive feedback on their work in BitBucket. Her collaborative approach extends to working closely with the QA team, ensuring that the software developed meets high standards of quality and functionality.
Performance Improvements
Rajashri Deshmukh has made significant contributions to performance optimization, notably improving the data table turn-around time from 30 seconds to 3.2 seconds by optimizing expandable functionality. This achievement demonstrates her ability to enhance system performance and user experience.