Ahmed D.

• Lead the design and development of production-grade LLM-powered applications, including RAG pipelines, agent workflows, prompt orchestration, safety guardrails, and evaluation frameworks optimized for performance, quality, and cost. • Own the end-to-end ML lifecycle from data exploration and feature engineering to fine-tuning (LoRA/QLoRA), testing, deployment on AWS, monitoring, and continuous improvement ensuring scalable and reliable enterprise AI services. • Architect and deploy cloud-native ML solutions using AWS (e.g., SageMaker, Bedrock), implementing CI/CD for ML, experiment tracking, model versioning, observability, and automated retraining pipelines. • Conduct deep exploratory data analysis on structured and unstructured industrial and asset datasets to uncover operational insights, predictive signals, and opportunities for intelligent automation. • Optimize large-scale training and inference using distributed training, quantization, caching strategies, and vector databases to improve efficiency and reduce infrastructure costs. • Establish MLOps standards and responsible AI practices, including governance frameworks, model evaluation for robustness and faithfulness, and compliance with enterprise security requirements.

Dunn&Co. is one of the Southeast US’s top creative, branding, and advertising agencies, known for award-winning marketing solutions across both digital and traditional media.

• Developed reporting structures and dashboards to monitor paid and owned media campaign performance.

• Integrated Google Analytics 4 (GA4), Google Tag Manager, and Databox/Datorama dashboards for real-time insights.

• Created proactive performance reports analyzing client websites and app engagement, enabling data-driven marketing adjustments.

• Worked with developers to implement GTM plans and enhance event tracking accuracy.

• Offered recommendations based on raw campaign data to improve ROI on media spending.

TMAC is a UK-based SaaS company revolutionizing customer experience by helping contact centers analyze customer interactions and coach agents effectively.

• Deployed TMAC’s analytics suite for enterprise and mid-market clients, ensuring smooth integration with client systems.

• Built and optimized ETL pipelines to process structured and unstructured data (audio, text).

• Supported engineering teams by diagnosing Python-based issues and writing automated tests.

• Implemented AWS services (Lambda, S3, EC2) for scalable deployment of data pipelines.

• Collaborated directly with client teams to design and deliver data transformation workflows.

• Enhanced reliability of analytics products through Dockerized deployments and CI/CD workflows.

Alpina Group is a Dutch financial services provider offering insurance, mortgages, pensions, and brokerage solutions, created by merging multiple regional companies under one unified brand.

• Provided expertise on data engineering challenges with a focus on SSIS and MySQL.

• Assisted in migrating and optimizing financial data pipelines for reporting and compliance.

• Designed database solutions to ensure data consistency and improve query performance.

• Consulted on best practices for ETL automation and long-term data scalability.

• Développer une architecture de réseau en utilisant Spark, YARN, Cloudera CDH et Hadoop.
• Utiliser divers outils statistiques pour interpréter les ensembles de données, en se concentrant sur l’identification des tendances et des modèles précieux pour le diagnostic et l’analyse prédictive.
• Effectuer le nettoyage des données et l’analyse exploratoire des données (EDA) en utilisant Python, IMPALA, Hive, SQL, PySpark, Pandas et NumPy.
• Construire des modèles pour résoudre les problèmes commerciaux, y compris CNN, RNN, DNN, NLP, Computer Vision (CV) et TensorFlow/Keras.
• Présenter des tableaux de bord en utilisant des techniques de visualisation des données, y compris Tableau et MS Power-BI.

• Analyse et visualisation des données à l’aide de Power BI et Tableau.
• Construction de l’écosystème analytique B2B pour servir les secteurs verticaux du marketing et des ventes.
• Automatisation de la génération de rapports manuels fréquents.
• Conception de modèles d’exploration de données pour répondre aux besoins d’information B2B.
• Développement de modèles de simulation de tarification.
• Automatisation du cycle de calcul pour les KPI liés au SIP.
• Développement réussi d’un modèle de désabonnement pour analyser et prédire les comportements de désabonnement des clients et faire des prédictions.

• Mener des évaluations et fournir des recommandations sur les stratégies et les processus d’architecture cibles.
• Donner des conseils sur les questions liées à l’architecture, en veillant à l’alignement sur la stratégie de données de l’entreprise.
• Recommander des stratégies de migration, des architectures d’entreprise, des outils et l’infrastructure nécessaires pour une mise en œuvre réussie de la solution.

Vodafone Egypt is the largest mobile network operator in Egypt and part of Vodafone Group. It serves millions of subscribers nationwide.

• Analyzed network KPIs and trends daily, producing actionable reports for technical and business stakeholders.

• Identified new process improvement opportunities to optimize radio network performance.

• Translated annual market forecasts into technical plans to enhance coverage and customer experience.

• Contributed to the successful launch and nationwide rollout of 4G in Egypt.

• Implemented hotspot deployments and coverage upgrades across major cities.

• Awarded Vodafone Superior Performance (2016) and Excellence Project Award for 4G launch.

• Optimised radio network parameters to reach the optimum performance.

• Analysed network trends and seasonality based on daily data extraction.

• Performed seasonal and annual furcate for special events based on historical data analysis.

• Determined areas of improvement and expansion needs based on advanced data analysis

• Generated bi-weekly reports based on the network’s KPIs.

• Managed and supervised new trials, cluster optimization, main cities campaigns, and customers’ complaints

• Managed to develop an automated tool to report area KPIs with alerting system

• Acted as the Tech Lead of a team of two engineers, providing technical training

Achievements:

• Etisalat Excellent Project Award, June 2012

• The employee of the month: April 2013