During my tenure at Qualcomm for 2 years as a Software Engineer in the Firmware Integration Team, I had the privilege to contribute to various aspects of the software development lifecycle and key projects. Here are a few: I implemented a robust CI/CD pipelines using Jenkins. This initiative led to a remarkable 80% reduction in product delivery time for clients such as Apple, Google, and Samsung. We ensured faster and more reliable software releases. To enhance the efficiency of the FW team, I developed algorithms which were instrumental in detecting anomalous behavior and events in 5G log packets. This aided over 100 developers in identifying and correcting code issues. In an endeavor to optimize testing processes, I introduced a change-based testing approach. By meticulously selecting the most relevant test cases for specific software builds, I achieved a remarkable 90% reduction in test time.
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Working in the Vital Lab, we provide students a private cloud of virtual machines to have a hands-on experience of topics covered in class.
I established and setup a development environment using Nginx, Gunicorn, Postgres, and Django to keep the deelopment and production platform separate. This allowed independent code development, testing, and seamless production deployment.
During this tenure, I was engaged in a research role focused on Information Retrieval and Data Analysis. I conducted concurrent data collection processes to extract and analyze bug-related data from 280,000 Ubuntu bug pages hosted on Launchpad.
In addition, I implemented four distinct text distance algorithms. Using these algorithms I clustered bugs that exhibited similar keywords. This aided in the identification of trends, common issues and similarities among all of the bug related information
Furthermore, I constructed a comprehensive knowledge graph. with 47,000 bug nodes and 200,000 edges, which served as the relationship between bugs. Using this graph I derived valuable statistical insights, contributing to a deeper understanding of the underlying patterns.