Data engineering · Telecom systems · LLM automation

Hi, I’m Rand Nomairi

Delivering production-ready telecom data platforms and intelligent automation.

I build resilient data pipelines, cloud-native monitoring, and AI tooling that unlocks operational insight for telecom teams.

Explore projectsContact me

1M+ CDRs/day

Telecom scale

LLM tools

Operational AI

Cloud-native

Docker • Kubernetes

About my work

I design telecom data systems and AI automation with strong observability, resilient deployment, and operational value built in from day one.

My focus is on delivering production-ready pipelines, intelligent assistants, and cloud-native services that help telecom teams move faster while keeping operations stable.

Problem

Telecom operations need trustworthy pipelines and intelligent automation to keep services running smoothly.

Approach

I build observable, reusable data workflows and AI assistants that integrate with real-world telecom documentation and systems.

Impact

Faster troubleshooting, stronger SLA confidence, and automation that supports both engineering and operations teams.

Featured Projects

Each project showcases the tools, architecture, and outcomes behind telecom data systems and LLM automation work.

See all project pages
Real-Time Telecom CDR Pipeline
Lead Data Engineer

Real-Time Telecom CDR Pipeline

Lead Data Engineer

Built an operational telecom ETL pipeline processing 1M+ daily CDRs for anomaly detection, SLA measurement, and automated alerts.

Improved visibility for operations teams with automated data quality monitoring and SLA reporting.
KafkaSparkAirflowDockerKubernetes
Real-time ingest and ETL for telecom CDRs
Auto-scaling Kubernetes deployment
Data quality monitoring and alerting
View project
5G Network Anomaly Detection
Data / ML Engineer

5G Network Anomaly Detection

Data / ML Engineer

Designed an anomaly detection concept for 5G network traffic that can flag unusual patterns before they impact service quality.

Adds a monitoring layer for network health and early warning analysis.
PySparkML PipelinesFeature EngineeringDocker
Streaming-friendly feature preparation
Anomaly scoring for network events
Containerized reproducible workflow
View project
LLM-Powered Telecom FAQ Bot
ML / Automation Engineer

LLM-Powered Telecom FAQ Bot

ML / Automation Engineer

Built a retrieval-augmented telecom FAQ assistant that combines local TF-IDF search, automatic web-source fallback, and optional LLM synthesis. It answers open-ended telecom questions from a dynamic, expanding corpus.

Can answer novel telecom questions even when they are not in the original static corpus, by combining retrieval enrichment with free LLM backends like Ollama.
FastAPITF-IDF RetrievalRAGHugging Face DatasetsUvicornhttpxOllama
Local TF-IDF vector search over a 60+ article telecom knowledge base
Automatic fallback enrichment from public sources (3GPP, GSMA, O-RAN, etc.) when local confidence is low
Optional RAG pipeline with free LLM backends (Ollama, Groq, OpenAI-compatible APIs) for synthesized answers
FastAPI service with playground and structured JSON responses
Expandable corpus with automatic chunking and keyword tagging
View project

Technical Skills

Deep expertise across data engineering, cloud-native systems, and AI automation tools.

Data Engineering

Apache Spark
Kafka
Airflow
SQL

Cloud & DevOps

Docker
Kubernetes
AWS/GCP
Terraform

AI & Automation

LLMs
LangChain
Hugging Face
FastAPI

Get In Touch

Interested in telecom data systems, AI automation, or collaboration? I’m happy to connect and discuss your next project.

rand.nomairi@gmail.com
linkedin.com/in/rand-alnomairi