Tushar Dey
Junior Software Engineer at BUSINESSNEXT
Mumbai Metropolitan Region India
Summary
🤩
Rockstar🎓
Top SchoolTushar Dey is a Junior Software Engineer based in the Mumbai Metropolitan Region with nine years of hands-on experience spanning full-stack and DevOps-focused projects. Currently at BUSINESSNEXT, he brings practical expertise in containerization and CI/CD, having contributed to AWS Deep Learning Containers by improving build/test infrastructure, Dockerfiles, and telemetry for TensorFlow and MXNet images. Trained in Java full-stack development through AccioJob and holding an MCA, he pairs formal education with applied skills in cloud-native workflows. Tushar’s background shows a rare blend for his title: strong operational contributions to a high-profile open-source AWS repo alongside application development experience. He’s motivated by making ML tooling more reliable in production and enjoys untangling build and deployment complexity. Colleagues can expect a pragmatic engineer who moves between code, containers, and tests to ship repeatable, automated releases.
9 years of coding experience
Full Stack Development, Java Full Stack Development, Full Stack Development, Java Full Stack Development at AccioJobMaster of Computer Applications - MCA, Computer Programming, Specific Applications, Master of Computer Applications - MCA, Computer Programming, Specific Applications at Jain (Deemed-to-be University)Bachelor's of computer application (BCA), Computer Application, 78%, Bachelor's of computer application (BCA), Computer Application, 78% at Arcade Business College - India
Github Skills (11)
mxnet10
docker10
tensorflow10
aws10
dockers10
cicd10
horovod9
python9
pytorch8
kubernetes-pods7
kubernetes7
Programming languages (3)
Github contributions (5)
aws/deep-learning-containers
May 2020 - Aug 2020
AWS Deep Learning Containers are pre-built Docker images that make it easier to run popular deep learning frameworks and tools on AWS.
Role in this project:
DevOps Engineer
DevOps EngineerContributions:2 reviews, 50 commits, 141 PRs in 3 months
Contributions summary:Tushar primarily contributed to improving the build and testing infrastructure of the deep learning containers. They added and modified build specifications for TensorFlow and MXNet, updated Horovod versions, and addressed EKS test configurations. Furthermore, the user implemented telemetry tests for the containers and made changes to the Dockerfiles, indicating a focus on containerization and CI/CD processes. These changes aimed at improving the build process, and testing procedures for the deep learning containers.
pytorchsagemakercontainersmxnetserving
TusharKanekiDey/deep-learning-containers
May 2020 - Aug 2020
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
Contributions:317 pushes, 90 branches in 3 months
caffe2trainingtensorflowawsserving
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