Abhilash Pallerlamudi
Lead Software Engineer at Visa
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolAbhilash Pallerlamudi is a Lead Software Engineer based in Palo Alto with 12 years of experience building cloud-native systems using Go and Kubernetes. At Visa he drives platform and infrastructure work, focusing on reliable deployment and operational tooling for large-scale services. He contributes to prominent open-source projects like Kubeflow, where he worked on ML pipeline deployments, image/version management, and resource quota improvements—demonstrating MLOps and production readiness expertise. His background blends a strong academic foundation (MS in Applied Computer Science) with hands-on engineering that spans configuration, CI/CD workflows, and bug fixes that improve model-serving behavior. Known for pragmatic problem-solving, he often tackles infrastructure-level issues that quietly improve developer productivity and resource management.
12 years of coding experience
Master's Degree, Applied Computer Science, 3.91, Master's Degree, Applied Computer Science, 3.91 at Northwest Missouri State UniversityBachelor's Degree, Information Technology, 3.23, Bachelor's Degree, Information Technology, 3.23 at Sreenidhi Institute of Science and Technology
Github Skills (13)
kubeflow10
kubernetes10
docker10
jsonnet10
dockers10
kubernetes-pods10
cicd9
yaml9
argo-workflows8
gcp7
machine-learning6
python6
tensorflow5
Programming languages (11)
Github contributions (5)
kubeflow/kubeflow
Dec 2018 - May 2019
Machine Learning Toolkit for Kubernetes
Role in this project:
MLOps Engineer
MLOps EngineerContributions:8 commits, 9 PRs, 61 comments in 4 months
Contributions summary:Abhilash primarily contributed to the Kubeflow project by modifying configuration files and code related to the deployment and operation of machine learning pipelines. Their work included updates to image versions used within the testing and release workflows, indicating a focus on managing the infrastructure and dependencies of the project. They also addressed a bug related to the handling of image types in the Jupyter web app, demonstrating a role in ensuring correct model serving and application functionality. Furthermore, the user added a resource quota to the profiles which support resource management to the profiles.
pythondata-sciencenotebookmachine-learningmlops
stpabhi/business-card-scanner
Apr 2014 - Oct 2022
Business Card Reader is an iOS App based on Tesseract OCR
Contributions:1 release, 29 commits, 22 pushes in 8 years 7 months
ios-appcard-readerocrbusiness-cardswift
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.