Anindita Banerjee
Data Scientist
Pune/Pimpri-Chinchwad Area India
Summary
🤩
Rockstar🎓
Top SchoolAnindita Banerjee is a data scientist with 13 years of experience bridging research-grade AI and production engineering, now applying NLP and decision-science expertise at Red Hat. She spent seven years as a researcher at TCS Innovation Labs, producing published work and patents that translate academic advances into practical enterprise solutions. Her background spans business intelligence, backend engineering and DevOps—she has contributed bug fixes and reliability improvements to widely used open-source projects like libvirt and cloud-init. That mix of systems-level coding and applied NLP lets her design solutions that are both innovative and operationally robust. Based in Pune, she pairs a first-class BE in Electronics & Telecommunication with a track record of improving system reliability, networking initialization, and model-driven decision processes. Colleagues describe her as a pragmatic researcher who pushes boundaries while keeping production stability front and center.
13 years of coding experience
10 years of employment as a software developer
Savitribai Phule Pune University
English, Hindi, Bengali, Marathi
Github Skills (29)
libvirt10
network-configuration10
administrator10
networkmanager10
admin10
cloud-init10
back-end-development10
python10
qemu10
c1110
c1710
system10
administration10
sys10
system-administration10
Programming languages (4)
Github contributions (5)
canonical/cloud-init
Mar 2023 - Mar 2025
Official upstream for the cloud-init: cloud instance initialization
Role in this project:
Backend & DevOps Engineer
Backend & DevOps EngineerContributions:42 reviews, 45 PRs, 232 comments in 2 years
Contributions summary:Anindita primarily contributed to the cloud-init project by fixing bugs and implementing features related to network configuration and system initialization. Their work involved modifying Python scripts to address issues with IPv6 DHCP, static IP configurations, and the generation of network configuration files for different distributions (RHEL). The user also added enhancements to the system's logging behavior and updated documentation. Furthermore, they improved the system's handling of SSH keys and yum repository configurations.
gcppythonagnosticinfrastructure-managementupstream
libvirt/libvirt
Dec 2021 - Jan 2022
Read-only mirror. Please submit merge requests / issues to https://gitlab.com/libvirt/libvirt
Role in this project:Back-end Developer
Back-end DeveloperContributions:5 commits in 27 days
Contributions summary:Anindita primarily focused on bug fixes and code improvements within the libvirt project. They addressed issues related to qemu image saving and agent functionality by reverting changes, removing unused code, and adjusting error handling. Furthermore, the user simplified code by altering the return type of a function and improved error reporting in a process statistics function. The contributions suggest a strong understanding of the project's internal workings and a focus on code quality and reliability.
pythonlibvirtgitlabmerge-requestssubmit
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