Dan Ciborowski
Principal Software Engineer at Microsoft
Framingham, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolDan Ciborowski is a Principal Software Engineer with 11 years of experience building cloud-native, big data, and ML systems at Microsoft, blending hands-on development in Python, Java/Scala, and JavaScript with deep Azure infrastructure and DevOps expertise. He has taken ML models from research to production—deploying services to AKS and integrating recommendation systems and SAR algorithms for large-scale Spark and Databricks workflows. His background spans database technologies from MySQL to Hive/NoSQL and infrastructure-as-code with Bicep and ARM templates, enabling repeatable, monitored deployments of complex services. Comfortable in Agile/Scrum/Kanban environments, he pairs strong backend and cloud skills with a pragmatic focus on operationalization and compatibility (e.g., Spark 3 updates). An underappreciated strength is his breadth across legacy and modern stacks—Perl/PHP/VBA to modern ML pipelines—making him effective at migrating and modernizing systems at scale.
11 years of coding experience
12 years of employment as a software developer
Doctor's Degree, Business Administration and Management, General, Doctor's Degree, Business Administration and Management, General at Drexel UniversityHigh School Diploma, High School Diploma at St. Joseph High School
Stackoverflow
7,027reputation
2.4mreached
142answers
63questions
mysql
top-5%
azure
top-5%
java
top-5%
amazon-redshift
top-5%
amazon-web-services
top-5%
Github Skills (67)
apache-spark10
recommendation-system10
bicep10
python10
command-line-interface10
pyspark10
microsoft-azure10
azure-machine-learning10
cosmosdb10
azure-aks10
automation10
python-packaging10
dockers10
ml10
argparse10
Programming languages (20)
Github contributions (5)
microsoft/AI
Aug 2019 - Oct 2021
Microsoft AI
Role in this project:
MLOps Engineer
MLOps EngineerContributions:2 releases, 2 reviews, 1070 commits in 2 years 2 months
Contributions summary:Dan's commits primarily involve deploying a web service to Azure Kubernetes Service (AKS) within the `microsoft/ai` repository, which indicates a focus on machine learning model deployment. They set up and configure the AKS cluster and then deploy a web service from an existing image. The commits demonstrate an understanding of Azure Machine Learning (AML) services and the deployment process for machine learning models in a production environment.
machine-learningmicrosoft
Azure/bicep-registry-modules
Aug 2022 - Nov 2022
Bicep registry modules
Role in this project:DevOps Engineer & Cloud Engineer
DevOps Engineer & Cloud EngineerContributions:441 reviews, 13 commits, 141 PRs in 3 months
Contributions summary:Dan primarily focuses on configuring and maintaining infrastructure-as-code for Azure resources within the Bicep registry modules. They are responsible for setting up and configuring Virtual Machine Scale Sets (VMSS), virtual networks, and networking components. The contributions include enabling features like Cloud Monitoring, correcting deployment errors, and updating API versions. The user also demonstrates the ability to integrate and configure external services like AKS and Helm charts into the existing infrastructure, and made several updates to existing infrastructure modules.
bicep
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.