Omid R.

Research Assistant

Deggendorf, Germany

Experience

Dec 2024 - Present
1 year 1 month
Deggendorf, Germany

Research Assistant

Deggendorf University of Applied Sciences

  • Developed machine learning and symbolic modeling workflows to predict RF material permittivity based on impedance spectroscopy data.
  • Focused on preprocessing techniques to enhance model accuracy and improve RF sensor performance in high-frequency environments.
Jan 2024 - Jul 2025
1 year 7 months
Berlin, Germany

ML-Based Link Capacity Estimation in 4G/5G Networks

Independent Research Project

  • Conducted an independent research project using real 4G/5G network data to predict link capacity with machine learning models (LightGBM, XGBoost, Random Forest).
  • Explored feature reduction techniques (PCA, Lasso, correlation filtering) to improve model efficiency.
  • Applied SHAP-based interpretability to analyze key throughput drivers in urban vs. rural deployments.
  • A manuscript summarizing the results is currently under review (submitted July 2025).
Dec 2023 - Jul 2024
8 months
Deggendorf, Germany

5G Test Network Deployment on Kubernetes

Deggendorf University of Applied Sciences

  • Built a scalable 5G testbed environment using Kubernetes and O-RAN components to simulate over 100 concurrent users.
  • Conducted performance testing and optimized network parameters to improve throughput and latency in cloud-native telecom infrastructures.
Jul 2016 - Mar 2023
6 years 9 months
Tehran, Iran, Islamic Republic of

Wireless (RAN) Engineer

Huawei Technology Co.

  • Designed & prepared RAN product solutions (4G, 5G).
  • Led over 50 software upgrades and license deployments across 4G/5G RAN sites, reducing downtime by 15%.
  • Performed network KPI analysis & troubleshooting, increasing system reliability by 20%.
  • Verified more than 400 configuration changes in the cellular network.
May 2015 - Jul 2016
1 year 3 months
Tehran, Iran, Islamic Republic of

Wireless Network Modernization Engineer

ZTE Technology Co.

  • Integrated over 900 BTSs.
  • Managed operation & maintenance of BSS equipment.
  • Implemented radio parameter changes & frequency planning.
Mar 2013 - Mar 2015
2 years 1 month
Tehran, Iran, Islamic Republic of

RAN Front Office Engineer

Huawei Technology Co.

  • Produced daily/weekly KPI reports; performed initial troubleshooting (access/mobility/capacity) via OSS/NMS alarms/counters.
  • Operated NOC-style monitoring (availability/alarms/traffic) and maintained shift logs, SOPs, runbooks for consistent incident handling.

Summary

Network & Wireless Systems Engineer with 9+ years designing, deploying, and operating large-scale 4G/5G/O-RAN and Linux-based infrastructures. Skilled in Python/Bash automation for deployments, monitoring, and reporting, with strong KPI analysis and reliability engineering. Combines deep telecom expertise with data-driven methods (ML diagnostics, Kubernetes testbeds) to build scalable, high-performance networks—improving stability, uptime, and service quality while streamlining operational workflows.

  • Wireless Networks: 4G/5G RAN Configurations, O-RAN, Network KPI Analysis, BTS Deployment
  • Automation & Control: Python (pandas, scikit-learn), ML Modeling), Symbolic Regression, PLC Programming (Siemens TIA Portal), Power BI
  • DevOps & Tools: Kubernetes, Docker, Git, Linux, VS Code, Jupyter
  • Project Execution: Agile (Scrum), Requirements Engineering, Technical Documentation

Languages

Persian
Native
German
Advanced
English
Advanced

Education

Mar 2023 - Jun 2025

Deggendorf University of Applied Science (THD)

Master of Science, Automation · Electrical Engineering & Information Technology · Deggendorf, Germany

Sep 2008 - Jun 2012

Ferdowsi University of Mashhad

Bachelor of Science, Electronics · Electrical Engineering · Mashhad, Iran, Islamic Republic of

Certifications & licenses

Driver's License: Class B

Hardware-Installations-Supervisor

Huawei Certified Network Associate - 5G HCEI

Huawei Certified Network Associate - HCNP

Huawei Certified Network Professional - LTE

Learning Kubernetes

Power BI Essential Training

SQL Essential Training

Supervised Learning with scikit-learn

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