Personal details

Rutuja S. - Remote

Rutuja S.

Timezone: Eastern Time (US & Canada) (UTC-4)

Summary

I am a software engineer at Google India and have a strong interest in open source software. I have been a core contributor (C++) at MariaDB foundation (2018-2019) and have contributed to projects under Mozilla (Outreachy participant 2016), Linux Foundation (OPNFV intern 2017) and OWASP code sprint 2017.

Work Experience

Software Engineer
Google | May 2019 - Present
Python
Java
C++
Google Cloud Platform
Systems
Software engineer at Google
Software Engineer
Nutanix | Nov 2018 - May 2019
Database
Kubernetes
Go (Golang)
Member of Technical Staff

Personal Projects

Mozilla Firefox - Open Source intern 2016
2016
HTML/CSS
JavaScript
Participated as one of the 41 internationally selected interns for Outreachy, hosted by Software Freedom Conservancy and GNOME foundation. Made the following open source contributions to Mozilla and presented at 'Mozilla London All Hands Conference, 2016': • Designed and developed a content-process management tool that can track real time memory usage across each process in the Firefox browser. Worked on both the back-end and front-end in JavaScript, HTML, CSS • The project helped scale up and tune the number of content processes that Firefox uses, emphasizing on memory measurement • The tool is accessible by hitting about:performance in the Firefox browser (version 52 onwards) • It reports the RSS and USS memory performance for all open tabs and is platform-independent
OWASP Foundation Code Sprint 2017
2017
Python
Data Science
Participated as a Code-Sprint Intern with the Open Web Application Security Project (OWASP), a regular GSoC organization • Built a Machine Learning web-server log analysis tool using Python libraries Numpy, SciPy, Sci-Kit Learn, KModes in Python • It accepts Web Server (Apache) logs as input and provides output as a determination of requests that are considered 'attacks' • Used different supervised and unsupervised algorithms like Clustering, Decision Tree, Naive Bayes, etc. for classification