Manju Vijayakumar
Staff Software Engineer at Slack
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolManju Vijayakumar is a Staff Software Engineer in San Francisco with 11 years of experience designing and delivering full-stack systems, with deep expertise in Java, object-oriented design, and backend architecture. She has driven engineering efforts at Slack and Salesforce, leading projects from AI-powered voice assistants to mobile app tech leadership for Salesforce Anywhere. Her background spans high-frequency trading systems at Goldman Sachs to revenue analytics at Google, reflecting strong domain versatility and production-grade performance focus. As a performance engineer on the widely used Aura framework, she built testing infrastructure and tools for trace logging and metric export, improving observability and analysis workflows. Comfortable rotating through roles in operations, data analysis, testing, and support, she combines hands-on coding with cross-functional leadership. She holds an MS in Computer Science from Texas A&M and a BE (Hons) from BITS Pilani, bringing a pragmatic, systems-oriented approach to complex engineering problems.
11 years of coding experience
10 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and ScienceMaster of Science, Computer Science, Master of Science, Computer Science at Texas A&M UniversityGautami junior college
Github Skills (9)
javas10
java10
performance-testing10
webdriver9
json9
javascript8
mongodb-database8
mongodb8
junit7
Programming languages (2)
Github contributions (5)
forcedotcom/aura
May 2015 - Feb 2016
This project is archived, please see the readme for additional resources.
Role in this project:
Performance Engineer
Performance EngineerContributions:17 commits in 8 months
Contributions summary:Manju's contributions focus on building and improving the performance infrastructure for the Aura framework. Their work includes initial setup of the performance testing infrastructure, adding utilities for managing and analyzing performance test results, and integrating with MongoDB for storing trace logs and test metrics. The user also implemented the ability to export performance metrics to CSV files, improving the framework's utility for performance analysis. Furthermore, the user added the capability to handle custom options and generate unique URLs for performance testing.
additionalsalesforce-lightninglwcarchivedshadow-dom
vmanju/FENDProject1
Jul 2015 - Jan 2016
Contributions:6 pushes, 1 branch in 6 months
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