Radhika Bhat
Software Engineer at Larsen & Toubro Limited
Bengaluru, Karnataka, India
Summary
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RockstarRadhika Bhat is a software engineer based in Bengaluru with five years of professional experience building reliable systems at Larsen & Toubro. She contributes to cloud-native ML tooling as an ML/DevOps engineer on AWS Deep Learning Containers, focusing on PyTorch and TensorFlow images—work that includes dependency management, CVE remediation, and build pipeline improvements. Comfortable across infrastructure and machine learning deployment concerns, she blends hands-on container maintenance with pragmatic automation like dynamic AMI fetching for testing. Her background shows a knack for stabilizing production ML environments and closing security gaps that are often overlooked during rapid model iteration.
5 years of coding experience
Github Skills (15)
pytorch10
docker10
tensorflow10
aws10
gpu10
containerization10
dockers10
cicd9
python9
mamba9
build-system8
testing8
bash7
kubernetes6
kubernetes-pods6
Programming languages (1)
Github contributions (5)
aws/deep-learning-containers
May 2022 - Nov 2022
One stop shop for running AI/ML on AWS.
Role in this project:
ML Engineer & DevOps Engineer
ML Engineer & DevOps EngineerContributions:60 reviews, 38 commits, 117 PRs in 5 months
Contributions summary:Radhika primarily focused on maintaining and improving the AWS Deep Learning Containers, particularly for PyTorch and TensorFlow. Their work included fixing inference image issues, upgrading and downgrading software dependencies like mamba, and dynamically fetching AMI IDs for testing. They also addressed CVE fixes by updating package versions within the container images. Furthermore, the user made changes to the build configurations, including the buildspec files.
aiawsmachine-learningml
RadhikaB-97/deep-learning-containers
Nov 2022 - Apr 2023
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
Contributions:64 pushes, 9 branches in 5 months
caffe2trainingtensorflowawsserving
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