Dharmit Dalvi - Software Engineer at Apple

Dharmit Dalvi

Software Engineer at Apple

Austin, Texas, United States

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Summary

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Rockstar

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Top School

Dharmit Dalvi is a software engineer with seven years of hands-on experience building scalable, cloud-native systems and test infrastructures, currently contributing to financial and retail systems at Apple. He combines strong backend and automation skills—Python, Java, Go, Kubernetes, OpenShift, CI/CD pipelines—with deep MLOps know-how from working on Kubeflow Pipelines and Red Hat OpenShift AI. At Red Hat he helped ship AI/ML infrastructure as a service and contributed to open-source projects by parameterizing launcher images, improving logging, and migrating tests to GitHub Actions. Dharmit has repeatedly automated manual workflows—designing Ansible orchestration, Jenkins pipelines, and an AI provisioning system that cut triage time by 70%—and built test frameworks that reduced regression effort significantly. His background spans research-driven ML work (causal ML, Bayesian models) to production engineering, reflecting a rare blend of academic rigor and pragmatic delivery. Based in Austin, he’s an active open-source MLOps contributor with practical experience shipping production-ready ML infrastructure.

7 years of coding experience

6 years of employment as a software developer

Bachelor of Engineering (BE) Information Technology, Bachelor of Engineering (BE) Information Technology at Fr. Conceicao Rodrigues College of Engineering

Higher Secondary School Certificate, Higher Secondary School Certificate at DG Ruparel College of Arts, Science and Commerce

Secondary School Certificate, Secondary School Certificate at Balmohan Vidyamandir

Masters Computer Science, Masters Computer Science at Boston University

English, Marathi, Hindi, Konkani

Github Skills (15)

kubernetes10

kubeflow10

go10

mlops10

kubernetes-pods10

pipeline10

cicd10

dockers9

docker9

api8

machine-learning8

apidoc8

yaml6

data-science5

python5

Programming languages (9)

TypeScriptJavaShellRGoRobotFrameworkHTMLJupyter Notebook

Github contributions (5)

kubeflow/pipelines

Jul 2022 - Mar 2025

Machine Learning Pipelines for Kubeflow

Role in this project:

Back-end & MLOps Engineer

Contributions:200 reviews, 37 PRs, 254 comments in 2 years 8 months

Contributions summary:Dharmit primarily focused on improving the backend and infrastructure aspects of the Kubeflow Pipelines project. Their contributions involved parameterizing v2 launcher and driver images, enabling logging for various KFP components, and adding the capability to mount self-signed certificates. They also worked on migrating backend tests to a GHA workflow, upgrading the Go version, and adding features to the API, demonstrating strong skills in build automation and deployment. In addition, they also modified the compiler to disable caching by default based on flags or environment variables.

pipelinetektondata-sciencemachine-learningmlops

DharmitD/odh-manifests

Apr 2022 - Jul 2023

A repository for Open Data Hub Kustomize manifests extending upstream Kubeflow manifests

Contributions:23 PRs, 50 pushes, 31 branches in 1 year 3 months

upstreamkubeflowopen-datakuberneteskustomize

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