Amol Lele
Software Architect at Hewlett Packard Enterprise
Sunnyvale, California, United States
Summary
🤩
Rockstar🎓
Top SchoolAmol Lele is a Software Architect with 8+ years in cloud-native and storage integrations, based in Sunnyvale, California, with a career that spans HPE, AWS, Nimble, NetApp and VMware. He architects and delivers mission-critical storage plugins and multi-cloud integrations—driving CI/CD transformations that boosted deployment reliability by 30% and cut integration time by 25%—while leading cross-team programs that reduced defects and sped collaboration. At AWS he was a core contributor to SageMaker Debugger/Profiler and extended MXNet with C++ bindings and CI improvements, bringing production-grade MLOps rigor to open-source deep learning tooling. Known for pragmatic automation, he built a Generative AI Slack bot to slash internal support response times by 60% and championed “Code-to-Cloud” adoption across teams. Comfortable across C++, Python, Ansible and AWS services, he combines deep systems-level experience in virtualization and storage with hands-on ML workflow orchestration.
8 years of coding experience
18 years of employment as a software developer
UCSC Silicon Valley ExtensionBachelor of Engineering (BE) Electrical and Electronics Engineering, Bachelor of Engineering (BE) Electrical and Electronics Engineering at Savitribai Phule Pune University
Github Skills (9)
mxnet10
docker10
mlops10
dockers10
build-automation10
cicd10
python9
bash9
ccl9
Programming languages (4)
Github contributions (5)
apache/mxnet
Dec 2017 - Jun 2019
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Role in this project:
MLOps Engineer & Automation Engineer
MLOps Engineer & Automation EngineerContributions:15 commits, 25 PRs, 411 comments in 1 year 6 months
Contributions summary:Amol primarily focused on improving the build process and CI/CD pipeline for the MXNet project. They updated build documentation and integrated NCCL, a crucial library for GPU acceleration. Furthermore, the user implemented a broken link checker within the CI/CD system, enhancing the project's documentation quality. Their contributions also included updating Python dependencies and example scripts.
pythonschedulerdataflowmutationdata-science
leleamol/incubator-mxnet
Dec 2017 - Oct 2019
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Contributions:143 pushes, 45 branches in 1 year 10 months
pythonschedulerdataflowmutationorchestration
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