Experience

Leads applied AI/ML delivery for Mobily's network operations — architecting LLM-powered analytics, forecasting, and anomaly-detection systems, and aligning data science roadmaps with C-level and RAN/core engineering leadership across an 18M+ subscriber base.

• Designed and deployed a RAG-based fault analysis system (hybrid BM25 + FAISS retrieval with cross-encoder re-ranking), cutting mean time to resolution for P1 incidents by ~35% across an 18M+ subscriber base.
• Built a Seq2Seq LSTM forecasting pipeline for 4G/5G capacity prediction, improving forecast accuracy by 22% and enabling proactive planning for 3 regional NOCs.
• Developed LLM-assisted analytics dashboards unifying structured KPI/KQI data with unstructured alarm logs, improving data visibility by 30% and saving ~8 hours/week of manual reporting for 30+ network engineers.
• Engineered Apache Superset + SparkSQL + Hive pipelines processing 50M+ daily records for real-time ML scoring and executive reporting.
• Deployed ensemble anomaly detection (Isolation Forest + LSTM Autoencoder) on 4G/5G OSS data, flagging capacity degradation events with 91% precision.

Delivered network automation capabilities for Orange Egypt as a part-time remote contributor to Orange Innovation's automation team.

• Delivered network automation features using Cisco NSO, Python, YANG, EVE-NG, and Ansible, contributing $20K+ in project profit for Orange Egypt.

Owned MLOps and disaster-recovery platform engineering for Orange Egypt, industrializing ML deployment pipelines and leading a cross-functional Agile transformation.

• Designed and automated Docker + Jenkins CI/CD pipelines for ML model deployment, achieving zero-downtime rollouts across 5 production services.
• Led development of the NetFix disaster-recovery platform (Elasticsearch, Kafka, OpenDistro, Ansible), where ML-powered log monitoring cut incident detection time by 25%.
• Built ML-ready ingestion pipelines into Elasticsearch at scale, enabling near-real-time alerting for security and operations teams.
• Led a cross-functional team of 5+ engineers through a full Agile transformation over 10 months, doubling sprint delivery frequency.
• Resolved critical security vulnerabilities on production Linux servers via Ansible playbooks, improving compliance posture across 8 servers.

Applied machine learning to microwave transmission network data at NEC, driving measurable efficiency gains in resource planning.

• Applied supervised and unsupervised ML models to mobile traffic patterns, improving power-control efficiency and cutting over-provisioning across 200+ microwave links by ~18%.
• Built an internal Python-based IP dimensioning and site-configuration tool, streamlining planning workflows for 8+ engineering teams and cutting manual planning effort by 40%.

Planned and engineered microwave transmission network architecture for large-scale telecom infrastructure projects.

• Engineered microwave network architecture for stadium connectivity during the 2019 Africa Cup of Nations, delivering on time and within budget across 6 venues.

Teaches and mentors students across AI, Data Engineering, and Wireless Communication tracks at Egypt's Information Technology Institute.

• Delivers technical training sessions across the AI, Data Engineering, and Wireless Communication tracks.
• Mentors capstone project teams with hands-on guidance and code reviews.