Phil Winder
England, United Kingdom
Summary
🤩
Rockstar🎓
Top School
Top expert inCloud-native Kubernetes Ecosystem
Phil Winder is a CEO and founder with 11+ years building ML, RL and MLOps platforms for companies from startups to Google, Microsoft, Shell and Grafana. He combines hands-on backend and DevOps engineering (notably contributions to projects like Bacalhau, Seldon Core and the microservices demo) with PhD-level research in DSP and reinforcement learning—he's also the author of O'Reilly’s Reinforcement Learning. His firm, Winder.AI, and his HelixML co-founder role focus on taking models from research into production, including bespoke RL agents for industrial process optimization and security testing. Phil’s background spans embedded signal processing to cloud-native infrastructure, giving him rare end-to-end expertise in algorithm design, deployment and on-call MLOps. A practical engineer who still ships code, he’s repeatedly bridged product, open-source and vendor ML work to improve reproducibility and observability at scale.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Electronic Engineering (DSP), Doctor of Philosophy (Ph.D.), Electronic Engineering (DSP) at University of Hull
Stackoverflow
116reputation
10kreached
5answers
1question
Github Skills (46)
monitoring10
api-rest10
kubernetes10
docker-swarm-mode10
docker10
deploying10
api-design10
scripting10
restful-api10
command-line-interface10
microservices-application10
bash10
resource-management10
dockers10
java10
Programming languages (21)
Github contributions (5)
microservices-demo/shipping
Aug 2016 - Mar 2017
Shipping service for microservices-demo application
Role in this project:
DevOps Engineer
DevOps EngineerContributions:7 releases, 12 commits, 21 PRs in 7 months
Contributions summary:Phil focused on establishing and improving the project's infrastructure and deployment procedures. Contributions include creating and modifying deployment scripts, specifically for pushing Docker images to a staging environment. The user also integrated Prometheus for monitoring and implemented an HTTP interceptor to capture request metrics. They are responsible for build automation and monitoring.
dockershippingmicroservicesmicroservicemicroservices-demo
microservices-demo/carts
Aug 2016 - Mar 2017
Carts service for microservices-demo application
Role in this project:Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:7 releases, 12 commits, 18 PRs in 7 months
Contributions summary:Phil contributed to the development of a microservices cart service, focusing on features such as adding, removing, and updating items in the cart. They implemented Prometheus monitoring for the application, adding metrics endpoints and integrating request latency tracking. Additionally, the user refactored the Prometheus integration to use RED metrics, improving the observability of the service's performance.
microservices-demodockermicroservicescarts
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