David Dinter
Senior Product Manager, Security at Google
Stony Stratford, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolDavid Dinter is a Product Manager at Google Cloud with 11 years of experience building secure, data-driven cloud products and analytics platforms across enterprise and fintech domains. He blends deep technical roots—spanning big data architecture, ML ops and performance engineering—with product leadership roles that have driven streaming analytics and security initiatives. A hands-on contributor to open source projects like Kubeflow and Apache Beam, he has improved ML deployment pipelines and GCS integrations, showing he still writes code and optimizes developer workflows. Based in the UK, he pairs an engineering background in telecommunications and financial engineering with a history of founding and scaling data consultancy services, which informs his customer-first approach. Notably, he moved low-level training stacks (MPI→GLOO) and automated image builds in Kubeflow examples—an example of preferring practical, reproducible improvements that speed up adoption.
12 years of coding experience
15 years of employment as a software developer
Post-Bachelor Post-Baccalaureate Certificate in Information Systems and Management, Post-Bachelor Post-Baccalaureate Certificate in Information Systems and Management at University of California, BerkeleyBachelor of Science (BS) Telecommunications Engineering, Bachelor of Science (BS) Telecommunications Engineering at Universitat de les Illes BalearsMSc in Financial Engineering Finance Engineering, MSc in Financial Engineering Finance Engineering at WorldQuant UniversityDiploma Thesis Telecommunications Engineering, Diploma Thesis Telecommunications Engineering at RPTU Kaiserslautern-LandauUPC Universitat Politècnica de Catalunya
Spanish, English, Catalan
Stackoverflow
26reputation
206reached
1answer
0questions
Github Skills (26)
pytorch10
docker10
spark10
python10
kubeflow10
dockers10
gcp10
google-cloud-storage10
apache-beam10
back-end-development9
distributed-training9
cicd9
automation9
gloo9
backend9
Programming languages (9)
Github contributions (5)
kubeflow/examples
Nov 2018 - Jul 2019
A repository to host extended examples and tutorials
Role in this project:
MLOps Engineer & Backend Developer
MLOps Engineer & Backend DeveloperContributions:9 commits, 9 PRs, 45 comments in 8 months
Contributions summary:David primarily focused on enhancing the Pytorch MNIST example within the Kubeflow ecosystem. Their work involved refactoring the Python modules, switching the backend from MPI to GLOO to optimize builds, and automating the image build process with presubmit jobs. They also made changes to the image configurations and updated dependencies, contributing to improved deployment and integration of the model within the Kubeflow environment. Additionally, they fixed the training image and methods, and added GCFS integration.
kuberneteshostextended
pythonjobs/jobs
Oct 2015 - Oct 2016
A repository for our international job listings
Role in this project:Data Engineer
Data EngineerContributions:10 commits, 6 PRs in 1 year
Contributions summary:David primarily contributes to the creation and modification of job postings related to Data Engineer and Data Scientist roles at Data Reply UK. Their work involves creating and updating HTML files containing job descriptions, requirements, and contact information. These updates include adding and refining job details, such as contact URLs, email addresses, and modifying the technologies and skills sections. They also update the timestamp of the job posting.
job-listingspythonjoblistingstriggers
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