System Engineer & Integrator — Data Engineering, Enterprise AI Platforms, OpenShift
Researcher and Engineer in computer science, I aim to spread knowledge as much as possible to achieve a scientific renaissance. Most of my interests are in data engineering and systems design. I spend most of my time in researching and discovering, and sometimes drawing and writing.
By day I design, integrate and operate the platforms modern engineering teams depend on: OpenShift and Kubernetes clusters, big-data stacks built on Spark and Kafka, and — increasingly — private AI platforms: LLM serving and retrieval-augmented generation that keep sensitive data inside your own infrastructure. This blog is where I document what I learn along the way, from database internals to cluster storage to identity management.
I also write in Arabic at ar.ayaditahar.com, because good engineering knowledge should cross language barriers.
Spark, Kafka, Hive, HDFS, Cassandra, Elasticsearch, MongoDB, Neo4j, Redis, InfluxDB, PostgreSQL, MySQL
OpenShift, Kubernetes, Linux (RHEL/Ubuntu), Ansible, Red Hat Satellite, VMware, Azure, Windows Server & Active Directory
Private LLM deployments, RAG pipelines, vector databases, GPU infrastructure, model serving on OpenShift/Kubernetes
Certified across the platforms I work with:
Red Hat Microsoft Linux Foundation Cisco Oracle