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.

• Develop network architecture using Spark, YARN, Cloudera CDH, and Hadoop.
• Utilize various statistical tools to interpret data sets, focusing on identifying trends and patterns valuable for diagnostic and predictive analytics.
• Perform data cleaning and exploratory data analysis (EDA) using Python, IMPALA, Hive, SQL, PySpark, Pandas, and NumPy.
• Construct models to address business problems, including CNN, RNN, DNN, NLP, Computer Vision (CV), and TensorFlow/Keras.
• Present dashboards using data visualization techniques, including Tableau and MS Power-BI.

• Data Analysis & visualization using Power BI and Tableau.
• Building the B2B analytics ecosystem to serve the marketing and sales verticals.
• Automating the generation of frequent manual reports.
• Designing data mining models to cater to B2B insights needs.
• Developing pricing simulation models.
• Automating the calculation cycle for SIP-related KPIs.
• Successfully developed a churn model to analyze and predict customer churn behaviors and make predictions.

• Conduct assessments and evaluations and provide recommendations for target architecture strategies and processes.
• Consult on architecture-related concerns, ensuring alignment with the enterprise data strategy.
• Recommend migration strategies, enterprise architectures, tools, and infrastructure required for successful solution implementation.

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