Alali Khalaf

Senior Telecom Engineer with 7+ years of experience optimizing LTE/5G networks across multi‑vendor environments (Ericsson, Huawei). Based in Almere, Netherlands. I combine deep RAN optimization expertise with emerging skills in cloud‑native 5G, Kubernetes, DevOps, and AI/ML for telecom automation. My work focuses on improving network performance, reducing mobility issues, and enabling data‑driven decision-making across modern mobile networks. Technical Strengths • RAN Optimization: Delivered CSSR >98% and CDR <1% across 2G–5G networks. • Mobility Management: Reduced ping‑pong handovers by 15% through targeted parameter tuning. • Multi‑Vendor Integration: Led hardware swaps, feature rollouts, and interoperability testing with zero downtime. • Cloud‑Native Telecom: Hands‑on with Docker, Kubernetes, Linux, Git, and CI/CD pipelines. • AI for Networks: Skilled in Python, telecom data processing, anomaly detection, and SON‑related ML use cases. • IP Networking: Strong understanding of OSPF, BGP, MPLS, and network troubleshooting. Continuous Learning & Thought Leadership I publish technical content on 5G Core, Open RAN, VoLTE/IMS, and AI‑driven network automation. Currently completing certifications in Kubernetes, Telco Cloud Engineering, and AI/ML for 5G. Languages English (C1), Arabic (Native), Dutch (A2 – improving) I aim to contribute to cloud‑native 5G, O‑RAN, and AI‑driven network automation initiatives across the Netherlands.