01
Cloud architecture
Infrastructure on Google Cloud Platform — secure, cost-efficient and built for growth. From Kubernetes clusters and Infrastructure-as-Code to fully automated CI/CD pipelines.
GKE · Terraform · CI/CD · IAM · FinOps
Scalable cloud infrastructure.
Production-grade AI systems.
I take AI applications from prototype to reliable production — on Google Cloud Platform, with architecture built to last.
bekara@gcp — production
LLM
ModelAPI
Cloud RunGKE
Kuberneteslive
What I do
Two disciplines that rarely meet in one person.
02
Applied AI
Getting AI past the prototype stage: LLM integrations, agent-based systems and ML workflows that hold up in the hands of real users — monitoring, scaling and cost control included.
Vertex AI · LLM · Agents · RAG · MLOps
How I work
From concept to operations — no hand-over losses.
01
Analysis & architecture
Current state, goals, budget — resulting in an architecture designed for operations from day one.
02
Build as code
Infrastructure built reproducibly with Terraform — including CI/CD, IAM and monitoring.
03
AI integration
LLMs, agents and ML workflows integrated into existing processes — traceable and maintainable.
04
Operations & optimization
Scaling, cost control, evolution — the system runs and stays manageable.
The demo works. Now what?
That intersection is exactly where I work: turning the impressive AI demo into a system that runs securely, scalably and affordably.