Outcome-focused Lead AI and Data Engineering with more than 20 years of technology experience delivering enterprise AI, generative AI, data engineering, analytics, data visualisation and cloud solutions across Australia, the United States and the Middle East. Strong full-stack AI application development experience using .NET and React.js. Hands-on experience applying MLOps and LLMOps practices to productionise AI/ML solutions through automated CI/CD. Experienced in implementing Responsible AI, AI risk and accountability controls covering security, privacy, fairness, explainability, auditability and regulatory compliance. Combines strategic technology leadership with hands-on architecture and engineering across consulting, government, higher education, banking, financial services, media, logistics and energy. Proven ability to engage C-suite executives, senior business stakeholders, product leaders and multidisciplinary technical teams—translating strategic priorities into clear roadmaps, secure solution architectures and measurable outcomes while managing expectations, total cost of ownership (TCO), and return on investment (ROI).…

Elsayed Rashed

Outcome-focused Lead AI and Data Engineering with more than 20 years of technology experience delivering enterprise AI, generative AI, data engineering, analytics, data visualisation and cloud solutions across Australia, the United States and the Middle East. Strong full-stack AI application development experience using .NET and React.js. Hands-on experience applying MLOps and LLMOps practices to productionise AI/ML solutions through automated CI/CD. Experienced in implementing Responsible AI, AI risk and accountability controls covering security, privacy, fairness, explainability, auditability and regulatory compliance. Combines strategic technology leadership with hands-on architecture and engineering across consulting, government, higher education, banking, financial services, media, logistics and energy. Proven ability to engage C-suite executives, senior business stakeholders, product leaders and multidisciplinary technical teams—translating strategic priorities into clear roadmaps, secure solution architectures and measurable outcomes while managing expectations, total cost of ownership (TCO), and return on investment (ROI).…

Available to hire

Outcome-focused Lead AI and Data Engineering with more than 20 years of technology experience delivering enterprise AI, generative AI, data engineering, analytics, data visualisation and cloud solutions across Australia, the United States and the Middle East. Strong full-stack AI application development experience using .NET and React.js. Hands-on experience applying MLOps and LLMOps practices to productionise AI/ML solutions through automated CI/CD. Experienced in implementing Responsible AI, AI risk and accountability controls covering security, privacy, fairness, explainability, auditability and regulatory compliance. Combines strategic technology leadership with hands-on architecture and engineering across consulting, government, higher education, banking, financial services, media, logistics and energy. Proven ability to engage C-suite executives, senior business stakeholders, product leaders and multidisciplinary technical teams—translating strategic priorities into clear roadmaps, secure solution architectures and measurable outcomes while managing expectations, total cost of ownership (TCO), and return on investment (ROI).

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Skills

Experience Level

Language

English
Advanced

Work Experience

Lead AI and Data Engineering at NamaaConsulting | King Saudi University (Higher Education)
March 1, 2025 - Present
Led architecture and delivery of AI, data and cloud solutions, combining hands-on engineering, stakeholder engagement, team coaching and governance while aligning investments with business priorities, TCO and measurable ROI. Architected an AI-ready data platform using Microsoft Fabric, OneLake, lakehouse patterns and governed integrations across student, learning, ERP and operational data. Served as Copilot Studio developer lead defining agent architecture, reusable patterns and standards; coached engineers and collaborated with security/data stakeholders. Built an AI Student Assistant and AI Data Analytics Agent delivering grounded responses and natural-language analytics over governed institutional data. Engineered scalable batch/incremental/near-real-time pipelines with medallion architecture, automated quality validation, schema management, lineage and monitoring. Developed production-ready full-stack AI applications using .NET (ASP.NET Core), REST APIs and React/Next.js, applying
Lead AI and Data Engineering at Publicis Sapient (Saudi NEOM)
January 1, 2024 - February 1, 2025
Advised on enterprise AI and data strategy, enterprise architecture, governance and large-scale delivery. Designed and delivered full-stack interfaces for AI-powered intelligent search and analytics using TypeScript, React and Next.js, backed by Node.js services and REST/API Gateway integrations with Vertex AI, Gemini and governed BigQuery data products. Led NEOM Central Marketing Data, Insights and AI Data Mesh on GCP, ingesting and processing high-volume marketing and analytics data from social media and advertising platforms. Designed governed domain data products for multiple regions to enable sharing of marketing data and insights across departments. Built ML models for marketing KPI forecasting and media-spend optimisation. Designed AI agents (intelligent site search and data analytics/insights) using Vertex AI and RAG (vector search, embeddings, retrieval, grounding, access controls, monitoring) integrated into the governed data ecosystem. Established MLOps/LLMOps using Vertex A
Lead AI and Data Engineering at SCOP Media and Social Analytics
November 1, 2020 - December 1, 2023
Led data engineering, data science and analytics teams modernising a scalable, highly available media intelligence platform on Azure and Azure Databricks. Architected a Databricks lakehouse with ADLS, Delta Lake and Spark using medallion architecture to ingest, process and serve high-volume social-media and digital-content data for analytics and AI/ML workloads. Delivered resilient batch and near-real-time pipelines using Data Factory, Event Hubs, Databricks Workflows and Spark Structured Streaming with validation, error handling and monitoring. Built Power BI datasets and semantic models with dimensional modelling, star schemas, DAX, incremental refresh and row-level security. Delivered AI/ML solutions for speech recognition, translation, computer vision, sentiment analysis, topic classification, summarisation and trend prediction using Python/PyTorch and BERT plus Azure Cognitive Services, exposing secured APIs and analytical applications. Established MLOps/CI/CD with MLflow, Azure M
Senior Architect, AI & Data at Network International (Financial Services and Payments)
October 1, 2019 - October 1, 2020
Led AI, data engineering and analytics teams modernising a secure Azure enterprise platform for customer intelligence, payment-risk analytics, marketing automation and operational efficiency. Architected a Delta Lake-based analytical platform on ADLS, Azure Databricks, Spark, Azure SQL Data Warehouse and Cosmos DB for high-volume payment, merchant, customer and operational data. Designed batch, streaming and CDC pipelines using Data Factory, Event Hubs, Azure Functions and Stream Analytics with monitoring. Delivered ML solutions for transaction anomaly detection, fraud-risk scoring, chargeback prediction, segmentation, churn propensity and forecasting using scikit-learn/XGBoost and Azure ML. Established MLOps/CI/CD with MLflow, Azure ML, Azure DevOps, Docker and Terraform, automating model registration, deployment and production monitoring. Built Power BI datasets and semantic models with incremental refresh and row-level security for executive and operational dashboards.
Senior Architect, AI & Data at DTCC (Depository Trust & Clearing Corporation)
November 1, 2018 - October 1, 2019
Architected an AI-powered settlement-failure prediction and real-time exception analytics platform to analyse trade, settlement-instruction, reference data and outcome events to predict failures before operational cut-off. Designed a secure AWS data lake and streaming architecture using Kinesis, S3, EMR, PySpark, Athena and Redshift. Developed machine-learning architecture using SageMaker for feature engineering, model training, real-time risk scoring, anomaly detection and explainable predictions, prioritising exceptions by participant, security, market, transaction type and failure reason. Delivered Power BI dashboards and routed high-risk exceptions to operations teams using event-driven microservices, APIs and automated workflows.
Architect, Data & Analytics at Deloitte (Banking / NAB)
June 1, 2018 - November 1, 2018
Architected and led delivery of a real-time transaction fraud detection and risk analytics platform analysing card, payment, mobile-banking, ATM and online transactions to identify abnormal behaviour and enable rapid fraud intervention. Designed secure and scalable AWS lake and analytics architecture using S3, Kinesis, EMR, Spark, Glue, Athena and Redshift. Built ML architecture using SageMaker AI and TensorFlow/Python including feature engineering, training, deployment and real-time inference for transaction-level risk scores and prioritised fraud alerts. Delivered curated fraud and customer-risk datasets and Power BI investigation dashboards with operational monitoring while applying AWS Well-Architected principles for security, resilience, scalability, governance and support.
Architect, Data & Analytics at Capgemini (Royal Caribbean Cruise)
September 1, 2017 - May 1, 2018
Led a consulting team designing an Azure Customer 360 platform unifying guest, booking, loyalty, marketing and onboard-interaction data to improve personalisation, customer service and commercial decisions. Architected an enterprise data lake using ADLS, HDInsight, Hadoop, HBase, Spark and Azure SQL Data Warehouse; introduced Databricks for collaborative engineering and advanced analytics. Built batch and near-real-time pipelines using Data Factory, Event Hubs, Talend, Python, PySpark, Spark Streaming, APIs and CDC, including identity matching and deduplication to create trusted customer profiles. Delivered ML use cases for segmentation, churn propensity, booking prediction, next-best offers, onboard spend forecasting and sentiment analysis using Spark MLlib, scikit-learn and Azure ML. Designed Power BI datasets and tabular models with dimensional modelling, Power Query, DAX and row-level security. Established early MLOps/CI/CD using Bitbucket, Jenkins, Nexus, Docker and ARM templates
Architect, Data & Analytics at Firstmac Financial Services
December 1, 2015 - September 1, 2017
Defined enterprise Big Data, analytics and BI strategy and architected an AWS-based Hadoop ecosystem using EMR, EC2, S3, Kafka, HBase, Hive, Spark and Solr. Designed and implemented an enterprise Redshift data warehouse with dimensional models, fact/dimension structures, mappings, data marts and governed structures. Built scalable ingestion/integration/cleansing pipelines using Talend ETL, Python, EMR and PySpark across digital channels, CRM, banking platforms, databases, APIs and unstructured sources with validation, standardisation, reconciliation, exception handling and data quality. Delivered reports and interactive dashboards using Tableau, and enabled secure search and analytics via Solr Cloud with hierarchical access controls.
Senior Data & Analytics Engineer at Robert Bosch Australia
January 1, 2014 - November 1, 2015
Designed enterprise data architecture and dimensional models for supply-chain, logistics, sales and marketing analytics across SAP/HANA and planning systems, defining fact/dimension structures, business rules and governed KPI definitions. Developed and maintained Talend ETL pipelines to load sales, inventory, customer, vendor, supply and forecasting data into centralised warehouse and analytics platforms with scheduling, dependencies, logging and error handling. Engineered Python-based extraction and cleansing applying profiling, standardisation, deduplication, validation, reconciliation and exception management. Developed Tableau enterprise reports and dashboards and led cost-to-serve and material-distribution analysis to identify customer behaviour and operational cost drivers.
Senior Data Engineer at Fujitsu Australia (North Territory Government)
July 1, 2012 - December 1, 2013
Designed end-to-end data migration and integration between SAP Plant Maintenance and GIS platforms, defining specifications, mappings, interface models, transformation rules and validation requirements. Developed Talend ETL pipelines to extract/transform/load asset, maintenance and geospatial data across enterprise systems with scheduling, dependency management and error handling. Built cleansing and quality pipelines using Talend and Python including profiling, standardisation, deduplication, validation, reconciliation and exception management. Managed a team of four consultants, coordinating delivery schedules, technical reviews, ETL testing and production-readiness activities, and providing training to users and IT staff.
BI & Data Warehouse Engineer at QatarEnergy
October 1, 2007 - June 1, 2012
Designed enterprise data warehouse solutions including conceptual/logical/physical modelling, dimensional schemas and source-to-target mappings. Developed ETL/integration pipelines using Informatica PC, SQL and database Python to extract/transform/load data from SAP HR, healthcare and other enterprise sources into centralised warehouse and reporting platforms. Implemented Python-based extraction/cleansing with profiling, standardisation, validation, deduplication, reconciliation and exception handling. Led enterprise BI reports, dashboards, scorecards and data visualisations, translating business requirements into trusted performance metrics while managing scope, estimates, testing, delivery planning and stakeholder engagement.

Education

Master of Science in Information Science & Technology at Missouri University of Science & Technology
January 11, 2030 - August 26, 2026
Graduate Certificate in Business Intelligence at Missouri University of Science & Technology
January 11, 2030 - August 26, 2026
Bachelor of Engineering in Software Engineering (Honours) at Alexandria University
January 11, 2030 - August 26, 2026

Qualifications

Add your qualifications or awards here.

Industry Experience

Education, Government, Financial Services, Media & Entertainment, Transportation & Logistics, Energy & Utilities, Professional Services, Software & Internet, Other

Skills

Experience Level

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