About the Company
Lemay.ai is an AI consultancy building custom machine learning microservices for enterprise clients.
My Journey There
At Lemay.ai, I was responsible for both bare-metal and cloud infrastructure supporting AI microservices. On the virtualisation side, I managed Proxmox hypervisors — formatting disks, expanding LVM partitions, and tuning hardware allocation for heavy compute tasks.
I deployed self-hosted GitLab CI/CD pipelines and managed versioned Nginx configurations across client environments to streamline deployments.
For streaming data, I implemented Apache Kafka and Kafka Streams to handle real-time message routing between microservices, adding observability to track event lifecycles. I also built the data ingestion layer, establishing role-based access control (RBAC) so services and team members only accessed the datasets they were authorized for.
Key Deliverables & Architectures
- [01]Self-Hosted CI/CD & Nginx Versioning: Deployed self-hosted GitLab CI/CD pipelines and managed version-controlled Nginx reverse-proxy configurations across client environments.
- [02]Proxmox Bare-Metal & AWS Infra: Administered Proxmox hypervisors (disk formatting, LVM partition resizing, hardware allocation) alongside core AWS cloud services (EC2, S3).
- [03]Kafka Event Streaming & Telemetry: Implemented Apache Kafka and Kafka Streams for microservice messaging, establishing baseline observability across the event lifecycle.
- [04]RBAC Data Ingestion Layer: Designed a secure data ingestion layer to onboard datasets while enforcing strict Role-Based Access Control (RBAC) across services and user roles.