Fatih E. Nar
Distinguished Architect at Red Hat
Dallas, Texas, United States
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Fatih E. Nar, known as “The Cloudified Turk,” has built a career solving complex challenges in various domains including telecom, entertainment , media and others. With experience at Google, Verizon Wireless, Canonical Ubuntu, Ericsson, and now Red Hat, he specializes in cloud-native and Data & AI-driven solutions for enterprises and service providers.
He holds an MSc in Information Technology and a BSc in Electronics Engineering, along with completed studies at MIT and ongoing professional education at Stanford. His work blends AI, cloud, and hyperscale computing to create practical, software-driven solutions.
Fatih is also a recognized writer, sharing insights through his Open xG HyperCore series on Medium and contributing to AI/ML projects on GitHub and Hugging Face. In 20205 Fatih has been elected as a subject matter expert on AI/ML within Linux Foundation Networking (LFN) organization to steer & lead AI initiatives.
When not working, he’s likely exploring new datasets and AI models, ctl’ing with k8s, or sneaking dad jokes into tech discussions.
Area of Expertise
Topics
Harnessing Observability with AI for Distributed Applications
We will delve into the cutting-edge advancements in AI infused Application Performance Monitoring and Tracing (APM/T) for edge computing applications, focusing on the integration of Extended Berkeley Packet Filter (eBPF) and Large Language Models (LLM).
Harnessing the power of AIOPS for Telco Grade Observability; delivering enhanced LCM and scalability
Discover the transformative potential of AIOPS and its seamless collaboration with the multi-cloud implementing Telco Grade Observability. Designed for Telco/IT professionals passionate about optimizing their application management in multi-cloud Telco with resiliency, service availability, and precision, this session explores how Artificial Intelligence for IT Operations (AIOPS) revolutionizes IT operations management, delivering enhanced productivity, cost-effectiveness, and scalability.
Learn how it empowers Telco/IT teams to automate and improve the Life Cycle Management (LCM) process and scale applications running on cloud seamlessly.
Key highlights of this session include:
Understanding of AIOPS and its vital role in modern IT operations.
Insights into 5G Telco cloud and its seamless integration with AIOPS for enhanced application management.
Strategies for leveraging AIOPS to automate and improve LCM and scalability within 5G Telco cloud.
Harnessing Observability for 5G Performance: eBPF and OpenTelemetry Innovations
This session explores the integration of eBPF and OpenTelemetry (OTel) for achieving unparalleled observability and performance in 5G networks. By leveraging the K8s Operator framework, we demonstrate the Kubernetes-native deployment of advanced observability tools, including the bpfman stack for managing eBPF programs and the OpenTelemetry Operator for scalable telemetry pipelines. Participants will gain actionable insights into optimizing 5G Cloud Native Network Functions (CNFs) through precise observability, robust performance metrics, and real-time diagnostics, while ensuring security and multi-tenancy.
Democratizing AI for Telecommunications with PyTorch
We propose a presentation on our TME-AIX project, showcasing practical AI implementations in telecommunications using PyTorch on consumer-grade hardware. Our work demonstrates how telcos can effectively implement classification, regression, clustering, and anomaly detection models without requiring specialized infrastructure. Key Points:
(1)Implementation of "mixture of experts" approaches combining traditional ML with transformers
(2) Real-world telco use cases: fraud detection, service assurance, traffic segmentation, and security anomaly detection
(3) Data engineering using OpenTelemetry for telco-specific datasets
(4) Complete open-source implementation with notebooks and models available on GitHub and Hugging Face
Our presentation will provide practical insights for implementing cost-effective AI solutions in telecommunications environments with PyTorch, demonstrating that effective AI adoption doesn't necessarily require massive computational resources.
AI eXperiments for Enterprise IT
TME-AIX is a github public repository is dedicated to exploring various Telco Media Entertainment use-cases built around open source AI capabilities and utilizing open datasets. Link: https://github.com/fenar/TME-AIX
Enhancing Network Stability with AI: A Novel Approach Using AI driven Forward Erasure Coding
This session delves into the innovative use of Artificial Intelligence (AI) in network stability, particularly emphasizing a novel approach in AI driven Forward Erasure Coding (FEC). Designed for network engineers, data scientists, and IT professionals, the presentation aims to unfold how AI can be integrated with advanced FEC techniques to significantly improve network reliability and data transmission efficiency, especially in high-loss environments.
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