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.

• Verkkoarkkitehtuurin kehittäminen käyttäen Sparkia, YARNia, Cloudera CDH:ta ja Hadoopia.
• Erilaisten tilastollisten työkalujen hyödyntäminen tietokokonaisuuksien tulkintaan keskittyen diagnostiikkaan ja ennakoivaan analytiikkaan arvokkaiden trendien ja mallien tunnistamiseen.
• Tietojen suodattaminen ja eksploratiivinen analyysi (EDA) käyttäen Pythonia, IMPALAa, Hivea, SQL:ää, PySparkia, Pandasia ja NumPyta.
• Mallien rakentaminen liiketoimintaongelmien ratkaisemiseksi, mukaan lukien CNN, RNN, DNN, NLP, Computer Vision (CV) ja TensorFlow/Keras.
• Koontinäyttöjen esitteleminen käyttäen datan visualisointitekniikoita, mukaan lukien Tableau ja MS Power-BI.

• Power BI: tä ja Tableauta hyödyntävä data-analyysi ja visualisointi.
• B2B-analytiikan ekosysteemin rakentaminen markkinoinnin ja myynnin vertikaalien palvelemiseksi.
• Toistuvien manuaalisten raporttien tuottamisen automatisointi.
• Tiedonlouhintamallien suunnittelu B2B-insights-tarpeiden täyttämiseksi.
• Hinnoittelun simulointimallien kehittäminen.
• SIP: iin liittyvien suorituskykyindikaattoreiden laskentasyklin automatisointi.
• Vaihtuvuusmallien kehittäminen menestyksekkäästi asiakkaiden vaihtuvuuskäyttäytymisen analysoimiseksi ja ennustamiseksi sekä ennusteiden tekemiseksi.

• Arviointien suorittaminen sekä suositusten antaminen kohdearkkitehtuuristrategioista ja -prosesseista.
• Konsultointi arkkitehtuuriin liittyvissä kysymyksissä varmistaen, että ne ovat linjassa yrityksen tietostrategian kanssa.
• Siirtymisstrategioiden, yritysarkkitehtuurien, työkalujen ja infrastruktuurien suositteleminen, joita tarvitaan ratkaisun onnistuneeseen käyttöönottoon.

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