David Tesar
Principal Product Manager at Microsoft
Franklin, Tennessee, United States
Summary
🤩
Rockstar🎓
Top SchoolDavid Tesar is a Principal Product Manager at Microsoft with 11 years of experience shipping cloud-native products that scale to millions of users, specializing in Kubernetes, AKS, ACR/MCR, and secure software supply chains. He blends hands-on engineering and leadership—having led MLOps and DevOps initiatives, improved Azure ML practices, and architected GitOps experiences across Azure Arc and CAPI. A prolific contributor to high-profile open-source projects (notably enhancing Microsoft’s MLOps Python pipelines and Azure OpenHack DevOps samples), he drives multi-stage CI/CD, AKS deployments, and upstream integrations. He pairs technical depth in cloud-native tooling and observability with customer-facing problem solving for Microsoft’s largest accounts. Based in Franklin, Tennessee, he also runs a longstanding action-sports nonprofit and builds its React/Cordova and Node.js microservices stack, showing a mix of product, engineering, and community-first instincts.
11 years of coding experience
13 years of employment as a software developer
Bachelor of Science Computer Information Systems, Bachelor of Science Computer Information Systems at W. P. Carey School of Business – Arizona State University
Stackoverflow
2,146reputation
269kreached
5answers
2questions
docker
top-5%
windows
top-5%
Github Skills (44)
azure-devops-server10
kubernetes10
docker10
python10
apidoc10
charts10
microsoft-azure10
azure-machine-learning10
dockers10
cicd10
azure-cli10
mlops10
api10
go10
helm10
Programming languages (21)
Github contributions (5)
Azure-Samples/openhack-devops-proctor
May 2018 - Aug 2019
DevOps OpenHack Proctor environment code and provisioning scripts
Role in this project:
Full-stack & DevOps Engineer
Full-stack & DevOps EngineerContributions:1 review, 71 commits, 165 PRs in 1 year 3 months
Contributions summary:David's contributions primarily involve setting up and configuring the DevOps environment for the project. They were responsible for setting up the infrastructure including AKS cluster and related services like ingress. Furthermore, the user was involved in building and deploying various components of the application, including the sentinel, user-java, and tripviewer services, demonstrating a focus on full-stack deployments within the Azure environment. Additionally, the user managed the upgrade of core tools such as kubectl, Helm, and the Azure CLI.
provisioningdevopsprovisioning-scriptsproctorazure
microsoft/MLOpsPython
Jun 2019 - Jun 2020
MLOps using Azure ML Services and Azure DevOps
Role in this project:MLOps Engineer
MLOps EngineerContributions:6 releases, 18 commits, 41 PRs in 11 months
Contributions summary:David primarily focused on enhancing the MLOps pipeline for Azure ML Services and Azure DevOps. They upgraded the build-train-CI pipeline to a multi-stage architecture, refactoring the pipeline structure and triggering mechanisms. Key contributions include refactoring pipelines, updating steps, and introducing conditional triggers. These changes aimed to improve the model training, registration, and evaluation process, as well as incorporate new AzureML features.
devopsazure-mlmlopsazure-machine-learningmachine-learning
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