Shantanu Tripathi
Software Development Engineer II at Amazon Web Services (AWS)
Mountain View, California, United States
Summary
🤩
Rockstar🎓
Top SchoolShantanu Tripathi is a Software Development Engineer II with 10 years’ experience building AI/ML infrastructure and tooling, currently advancing AWS SageMaker, Deep Learning Containers and Deep Learning AMIs to run optimized, secure AI workloads at scale. He blends backend engineering, DevOps and ML expertise—shipping Dockerized deep-learning images, automating builds and fixing security and test regressions for widely used AWS deep-learning container repos. Earlier work spans static code analysis, AST-based code fixes, graph databases and a novel centroidless clustering algorithm from his research days, demonstrating a mix of applied research and production delivery. A NYU CS graduate with a 4.0 GPA, he’s comfortable across Python, TensorFlow, PyTorch, Docker and AWS services and has a track record of inventing pipelines that turn complex analyses into automated, deployable systems.
10 years of coding experience
4 years of employment as a software developer
Class XII Board ( ISC), Physics, Chemistry, Maths + Computer Science + English, 98.0%, Class XII Board ( ISC), Physics, Chemistry, Maths + Computer Science + English, 98.0% at Brightlands SchoolMaster's degree, Computer Science, 4.0/4.0, Master's degree, Computer Science, 4.0/4.0 at New York UniversityBachelor of Technology (B.Tech.), Computer Science and Engineering, 9.19 / 10.0, Bachelor of Technology (B.Tech.), Computer Science and Engineering, 9.19 / 10.0 at Vellore Institute of TechnologyClass X Board (ICSE), Physics, Chemistry, Maths + Computer Science + English, 95.2%, Class X Board (ICSE), Physics, Chemistry, Maths + Computer Science + English, 95.2% at Brightlands school
English, Hindi
Stackoverflow
363reputation
80kreached
3answers
1question
Github Skills (19)
pytorch10
docker10
package-management10
dockers10
cicd10
tensorflow10
build-automation10
python9
aws9
machine-learning8
security8
google-chrome6
parsing6
payload6
amazon-neptune6
Programming languages (4)
Github contributions (5)
aws/deep-learning-containers
Jul 2021 - Jan 2023
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 & ML Engineer
DevOps Engineer & ML EngineerContributions:916 reviews, 89 commits, 374 PRs in 1 year 6 months
Contributions summary:Shantanu primarily focused on build and release automation within the deep learning containers repository. They implemented and updated apt upgrades and package versions, specifically for TensorFlow and PyTorch, across various CPU and GPU Dockerfile configurations. Contributions also included fixing build configurations, enabling tests, and addressing security vulnerabilities. This indicates a focus on maintaining and improving the build process for these deep learning frameworks.
pytorchsagemakercontainersmxnetserving
shantanutrip/deep-learning-containers
Jun 2021 - Sep 2024
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
Contributions:1098 pushes, 178 branches in 3 years 3 months
caffe2trainingtensorflowawsserving
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