Anindita Banerjee

Data Scientist

Pune/Pimpri-Chinchwad Area India
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

🤩
Rockstar
🎓
Top School
Anindita 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.
code13 years of coding experience
job10 years of employment as a software developer
bookSavitribai Phule Pune University
languagesEnglish, Hindi, Bengali, Marathi
github-logo-circle

Github Skills (29)

libvirt10
administrator10
network-configuration10
admin10
networkmanager10
back-end-development10
python10
cloud-init10
qemu10
c1110
c1710
system10
administration10
sys10
system-administration10

Programming languages (6)

ShellCSCSSGoHTMLPython

Github contributions (5)

github-logo-circle
canonical/cloud-init

Mar 2023 - May 2026

Official upstream for the cloud-init: cloud instance initialization
Role in this project:
userBackend & DevOps Engineer
Contributions:52 reviews, 50 PRs, 267 comments in 3 years 2 months
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.
cloud-initpython
qemu/qemu

Jan 2021 - Jun 2025

Official QEMU mirror. Please see https://www.qemu.org/contribute/ for how to submit changes to QEMU. Pull Requests are disabled. Please only use release tarballs from the QEMU website.
Role in this project:
userBackend Developer
Contributions:1 PR in 4 years 6 months
Contributions summary:Anindita contributed to the QEMU project by modifying and adding tests for ACPI (Advanced Configuration and Power Interface) functionality, specifically related to hotplugging PCI devices. The user implemented unit tests to verify the behavior of hotplugging, and modified code within the acpi build and test files, focusing on the system's DSDT (Differentiated System Description Table) and related structures. The contributions included creating and modifying ACPI table blobs to reflect changes in ACPI implementations.
qemuemulationvirtualization
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial