Co-Founder & CTO @ initializ.ai | Building the Agentic Future of Work
I'm an engineering leader with 19+ years of experience building platforms and products across the cloud-native ecosystem. Before founding initializ.ai, I held leadership roles at VMware Tanzu, Pivotal Software, Cox Communications, and Infosys — shipping products used by thousands of enterprises worldwide.
I'm a Georgia Institute of Technology alumnus and an Arctic Code Vault Contributor on GitHub. My core expertise spans Kubernetes, Cloud Native infrastructure, AI/ML, the Spring ecosystem, and DevSecOps.
Currently, I'm focused on making AI deployment as easy as deploying web apps.
initializ.ai is a unified platform to securely build, run, and monitor AI Services & cloud-native applications with pre-built DevSecOps workflows. We help teams go from code to production with built-in security, observability, and compliance — no YAML wrangling required.
I'm an Arctic Code Vault Contributor and an active member of the cloud-native open source community. Some areas I've contributed to:
- Spring Boot + Apache Camel integrations
- Kubernetes workshops and developer enablement
- Cloud Native Buildpacks tooling
Check out my repositories below or browse github.com/mayureshkrishna.
| Title | Event | Link |
|---|---|---|
| Scaling Private LLM Model Services with Kserve and Modelcar OCI | KubeCon India | Watch |
| Enhancing Security and Delivery in Cloud Native Environments | Civo Navigate | Watch |
| AI and Computer Vision | WeMakeDevs Webinar | Watch |
| Cloud Native Buildpacks for Building Docker Containers on Kubernetes | Meetup | Watch |
| Kubernetes Atlanta Meetup — April 2019 | Meetup | Watch |
| Microservice Discovery & Reliability on Kubernetes: Spring Cloud or Native K8s | Atlanta Java User Group | Watch |
| Podcast Series on AI — Episode 1 | Podcast | Watch |
| Podcast Series on AI — Episode 2 | Podcast | Watch |
