Mehrdad Yadollahi

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Network Engineer | O-RAN/5G/LTE | AI/ML | AI in Next-Gen Networks | Dual M.Sc. (CS/EE)

About

With over a decade of experience in the IT and Telecom industries, I’m passionate about using technology to spark innovation and boost efficiency. I hold dual master’s degrees in Computer Science from Bowling Green State University and Electrical Engineering with a focus on Telecommunications. Throughout my career, I've enjoyed tackling complex challenges and driving innovation through cutting-edge research and the latest technologies.

What I Do:

I’m passionate about connecting with forward-thinking organizations and like-minded professionals to transform bold ideas into meaningful innovations. I believe in the power of collaboration and continuous learning to drive technology forward. Whether it’s building cutting-edge solutions or reimagining user experiences, I’m eager to team up and make a lasting impact.

Let’s innovate together and shape the future of technology!

Experience

Bowling Green State University, Ohio Jul. 2024 - Dec. 2024

Graduate Research and Teaching Assistant in the School of Engineering and Department of Computer Science

  • Mentored students in electrical and computer engineering fundamentals through hands-on labs.
  • Researched advancements in LLMs, Deep Learning Transformers, and Generative AI applications.

MCI (Major cellular network operator supporting 85 million subscribers) Nov. 2007 - Aug. 2023

RAN Support Engineer

  • Directed end-to-end operations for nationwide networks spanning 2G to 5G technologies, ensuring high standards in quality assurance and providing robust support to Optimization, Performance, Planning, and NOC teams, along with expert troubleshooting and fault management nationwide.
  • Managed vendor relationships and oversaw the hardware/software lifecycle, including compatibility, licensing, and End-of-Support management across 5G, LTE, UMTS, and GSM networks, maintaining adherence to SLAs.
  • Executed comprehensive hardware and software upgrades across Nokia and Ericsson nodes, enhancing network reliability and achieving $3M in cost savings.
  • Led commissioning, integration, and rehoming of Nokia and Ericsson gNB, eNB, and RNC nodes across packet cores, configuring Cisco, Juniper, and Ethernet switches, achieving $0.7M in savings and ensuring seamless IP backbone connectivity.
  • Optimized network performance using machine learning and database management, enhancing customer satisfaction.

Education

Research

  • Cellular Networks Technologies: 6G, 5G, O-RAN, LTE
  • Machine Learning and AI: Deep Learning, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Multi-Modal Transformers
  • Data Science
  • Software Engineering, Cloud Computing, and Computer Networking
  • Publications

    For more publications and citation details, please visit my Google Scholar page .

    Contact

    If you’d like to get in touch, feel free to reach me through any of the channels below.