Aniket Kulkarni
Software Engineer at NVIDIA
United States
Summary
👤
Senior🎓
Top SchoolAniket Kulkarni is a software engineer with nine years of experience building scalable infrastructure and developer tooling across networking, cloud-native systems, and GenAI. He has driven large engineering efforts at NVIDIA and VMware, notably designing an elastic remote execution and cache system that cut build times 38% and hardware costs 34%, and integrating gitaly clusters to boost Git storage performance. Prior roles at BlackRock and Accenture show his breadth in data fabric, personalized analytics environments, and production services using Java, Go, Python, Kubernetes, and Redis. He combines hands-on systems design with observability and MLOps practices to make complex distributed systems measurable and cost-efficient. Based in the United States with an MS in Computer Science from UC Santa Cruz, he brings a pragmatic focus on reducing operational overhead while enabling rapid developer workflows.
9 years of coding experience
8 years of employment as a software developer
University of California Santa CruzBachelor of Engineering (B.E.) Computer Science, Bachelor of Engineering (B.E.) Computer Science at University of Mumbai
English, Marathi, Hindi
Github Skills (10)
container-image7
development-environment5
docker5
ide5
oci-image4
rstudio4
editor3
rvg2
smithy1
conda1
Programming languages (4)
Github contributions (5)
AniketKul/dyecb
Aug 2018 - Dec 2018
Do You Even Code Bro!! (dyecb). A Code Evaluation Tool for Grading Code Exercises.
Contributions:6 PRs, 8 pushes, 2 branches in 3 months
code-exercisesevaluationcode-evaluationgrading
AniketKul/ml-pipeline-to-k8s-with-argo
Sep 2019 - Sep 2019
Contributions:17 commits in 1 day
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