Leading Amazon's EMEA data analytics team to support over 140 bar-raising Audit and Fraud engagements. MSc in Data science and 10 years of experience in ML Engineering, Business Intelligence, and Automation. I excel in building customer trust, solving ambiguous problems under tight timelines, and designing well-architected solutions to meet diverse GenAI, ML and Analytics requirements.
EDUCATION
GEORGIA INSTITUTE OF TECHNOLOGY
Master of Science in Data Science
(GPA: 4/4) | 2020 - 2023
AMAZON
Internal Audit | 2019-Present
VODAFONE
Revenue Assurance & Fraud | 2017-2019
PGESCO
CAD Tech | 2014 -2017
Certifications
AWS Machine Learning - speciality Certification.
AWS Certified solutions architect associate (in progress).
AWS Certified Cloud Practitioner.
Lean Six Sigma Certification: Yellow Belt.
GERMAN UNIVERSITY CAIRO
BSc Mechatronics Engineering
(High Honors) | 2009 - 2014
Senior Business Intelligence Engineer - ML
Designed and deployed of a serverless Graph Anomaly Detection solution, powered by Graph NN, that automated the manual access baselining process for auditors, saving up to 2000 hours of manual work annually and reducing inference time from mins to ms.
Designed and deployed a GenAI (RAG) based agent for auditors to perform self-serve analytics using text, reducing reliance on technical expertise and freeing up to 40% of engineering time.
Developed a text summarization tool utilizing LLM, to automate the generation of Risk Scenarios from a corpus of 2 million trouble tickets, eliminating laborious manual review activities for auditors.
Led the design and delivery of v2 of a Classification Model for Expirable products mitigating over 25 million in lost revenue.
Led data analytics on 140+ global investigations, driving 200+ findings related to Suspicious Activity and Operational Efficiency.
Recognized by the CFO for uncovering concession abuse trends accounting for 20% of missing payouts, and 3 internal fraud cases caused by a gap in an internal tool, utilizing ML.
Senior Business Intelligence Specialist
Led the design, integration, and UAT for Vodafone Egypt’s Fraud Management System, resulting in significant cost savings for the company and recognition from the Vodafone Technology Director.
Integrated 30+ new data sources, structured and unstructured, into the Vodafone Revenue Assurance platform within 4 months, leading to Vodafone Egypt's revenue assurance team attaining platinum certification from Vodafone Group.
Implemented reconciliation measures that reduced customer profile mismatches from 600K to 300, ensuring greater consistency in customer profiles across Vodafone systems.
Senior Applications Engineer
Achieved the 2nd place in the Intergraph Global Award for outstanding software customization, and presented my automation achievements at the HxGN Live conference in 2016.
Developed software solutions in to automate manual engineering inefficiencies, saving hundreds of man hours.
Received Special Certificate of recognition from the company CEO for contributing to the company objectives.
Techniques
ML/LLMOps | RAG | Deep learning | Finetuning | Deployment | Containerization | Graph NN | Anomaly Detection | Information Retrieval | Supervised & Unsupervised ML | EDA | ETL | ML System Design | Data Visualisation | Lean
Additional Experience
TECHNISCHE UNIVERSITÄT MÜNCHEN
BSc Thesis at the Fortiss research Institute
(GPA 4/4) | 2013
Technologies
AWS | SQL | Python | Pytorch | HuggingFace | LangChain | LlamaIndex | Spark | Docker | Kubernetes | Pinecone | elastic search | DJL | Cypher | d3.js | R | Java | C++ | Typescript | VBA | NoSQL | Tableau | Alteryx | Streamlit
Developed the complete ML/LLM backend powering a TechStars 2024 finalist company.
Served as a Technical Advisor for a pre-seed AI start-up in the hospitality Industry.
Cofounded a fast food restaurant for 2 years (2017-2019).
Cofounded a solar Energy startup and won 3rd place at Marburg University entrepreneurship competition (2015-2017).