Mazou O.

Creation and optimization of Kubernetes clusters for AI workloads.

Implementation of scaling strategies adapted to AI models and AI pipeline orchestration.

Implementation of cloud-native AI solutions:

Integration of AI tools and frameworks (TensorFlow, PyTorch, MLFlow, etc.) into Kubernetes environments.

Migration and modernization:

Support in modernizing existing architectures towards cloud-native solutions.

Audit and performance improvement of existing AI infrastructures.

CI/CD and automation:

Design of CI/CD pipelines specific to AI projects for deploying and operating models in Kubernetes.

Automation of deployment processes with tools like Helm, Terraform, or Ansible.

Monitoring and optimization:

Implementation of advanced monitoring for AI workloads (Prometheus, Grafana).

Management of Kubernetes cluster security and deployed AI environments.

Support and knowledge transfer:

Training internal teams on best Kubernetes practices applied to AI.

Technical assistance on complex issues related to Kubernetes and AI workloads.

The mission is to make clusters (TKGI and RKE2 distribution) robust, scalable, and highly available. This involves setting up visualization dashboards for multiple clusters (over 200 clusters with over 1000 pods each) and providing sustainable solutions through alert analysis.

Tasks:

Implementation of observability and alert analysis policies on Prometheus and Grafana

Proposal of a sustainable solution for cluster stabilization

Analysis and troubleshooting of alerts

Cluster upgrades

Support for product teams in securing their applications

Technical Environment: Terraform, Kubernetes, Helm, Vmware, Rancher, Prometheus, Grafana, GitOps, Concourse, Bash, Kyverno, Jira

Launch of my startup Zeeka Invest, whose mission is to democratize access to African financial markets for individual investors.

Tasks:

• Management and strategy

• Management and coordination of a team of 5 people

• Definition of the company's strategic vision and objectives

• Fundraising and management of investor relations

• Negotiation and establishment of partnerships with financial and institutional players

• Design of the business model and development of the product roadmap

• Product design (website and mobile application)

• Definition of the solution's deployment and monitoring stack

• Management of a team of 3 people (developers)

• Development and deployment of a REST API (https://api.zeeka-invest.com/docs)

• Backend with FastAPI, Postgres, and Alembic

• Deployments on AWS cloud (EC2, ECS, RDS), bash scripting, CI/CD pipeline with GitHub Actions

• Product design

• Design of the website and mobile application with Figma

• Choice of the technical stack

• Implementation of collaboration tools

Technical Environment: Python, FastAPI, SQL, AWS Cloud, Docker, GitHub, React, Figma