Digital Transformation & OSS Manager · Telecommunication Engineer
Ooredoo Oman · Muscat, Oman
Results-driven Digital Transformation & OSS Manager with 15+ years in telecommunications, combining deep network operations expertise (2G/3G/4G/5G, GPON, MPLS, DWDM) with full-stack development (Laravel, Vue.js, JavaScript) and AI/ML capabilities.
Leading Ooredoo Oman's autonomous operations journey on the Huawei AUTIN platform — architecting OSS/BSS integrations, building AI-powered automation pipelines, and delivering executive-grade dashboards that transform how the network operates.
Recognised for the Highest AOMM Score in Oman (2.44) under TM Forum GB1042A v1.7 evaluation, and reducing MTTD from ~60 min to 3 min via FTTH Massive Fault Interception while achieving a 98.87% Auto TT rate in Feb 2026.
Driving: Intelligent Decisioning → Closed-Loop Automation → Predictive Operations → Proactive Assurance → AI-driven Orchestration
AUTIN ADC Studio — MessageProcessor API, TQL database queries, Spl.EventBus event-driven architecture, Nokia REST Gateway OAuth2, Huawei SmartCare CCA
Local LLM (Ollama / Qwen2.5:14B), face recognition (DeepFace / ArcFace / face-api.js), Random Forest for FTTH prediction, vector databases, anomaly detection
TRA, Bank Mashraq, Investment Bank, Sohar Bank, Vodafone-NES, Nama Electric Meters, SHELL Oman, Barr Al Jissah Resort, ITA Modernization
Quantified outcomes from the Ooredoo Oman & Huawei AAOM autonomous operations program (2025–2026)
Automated TT creation grew from 93.55% (Jun'25) to 98.87% (Feb'26), processing 3,000–5,900 tickets/month with near-zero manual intervention across all network domains.
Multi-domain alarm compression eliminates alert noise, accelerating fault isolation across the full network stack.
AI-powered Random Forest model analyzes 15-min OLT performance data to predict fiber faults before customer impact — validated against 785 real complaint records.
Autonomous fault diagnosis and recovery across 2G/3G/4G/5G with 27 recovery scenarios covering RAN, IP, TX, and MW — zero NOC intervention required.
Change Request impact analysis fully automated — end-to-end processing slashed from 11 min to 2 min with auto topology correlation and instant B2B customer notification.
ANL4 solution consolidates 10+ portals into a unified AI workbench for E2E complaint management. Projected outcomes: complaint reduction 6–8%, FCR +15%, AHT -12%, MTTR -20%, L2 tickets -30%.
Topology-based alarm correlation with automatic parent-child grouping across RAN, Core, GPON, IP, SDH, and MW — single ticket per root cause, eliminating duplicate dispatches.
Continuous topology maturity improvement for Ericsson / SIAE / Huawei / Nokia. Locally resolved: MAC report issues, back-to-back links, port mismatches, and rural star site scenarios.
Real-time outage and power alarm tracking across the entire network during daily operations and major crisis events — built locally on AUTIN with live dashboards, automated alerting, and unified cross-domain visibility.
15+ years — from field engineer to digital transformation leader across Egypt and Oman
PMI · PM TRICKS · May 2021
35 PDUsTM Forum · 2025
Highest in OmanHuawei · Oct 2020
CertifiedHuawei · Jul 2020
CertifiedHuawei · Jul 2019
CertifiedCompuTek · Jul 2017
CertifiedCompuTek · Apr 2017
CertifiedNAT · Jul 2007
CertifiedSelf Study · 2010
CertifiedOpen to digital transformation leadership, OSS/BSS consulting, and telecom AI/automation projects.