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AI & Data
Architect
16+ years building scalable data/AI ecosystems — from real-time streaming pipelines and data lakehouses to LLM-powered agentic systems.
16+ years building scalable data/AI ecosystems — from real-time streaming pipelines and data lakehouses to LLM-powered agentic systems.
I'm Ahmed Sayed, an AI & Data Architect based in Cairo, Egypt. I design and build production-grade agentic AI systems, scalable data platforms, and real-time streaming architectures. Currently at Gymshark, where I'm deploying LLM-powered agents that automate business-critical workflows across marketing, DevOps, HR, and engineering.
Production agentic system automating returns and customer queries. Integrated BigQuery + Intercom with Google ADK for autonomous decision-making.
Content generation platform with RAG pipeline ingesting marketing examples from Notion into AlloyDB vector store. Powers autonomous content creation.
Autonomous coding agent trained on 100+ curated tasks to generate production-quality data pipelines with zero human intervention.
Autonomous DevOps agent handling CI/CD orchestration, unit testing, error detection, and self-healing remediation on GCP infrastructure.
Internal AI assistant answering HR and policy questions via RAG pipeline using embedded company PDFs and Gemini for natural language understanding.
Intelligent bot extracting patient and medication data from HospiceMD and JNCloud. Zero-interference real-time order synchronization with Curenta APIs.
ChatGPT-powered chatbot for medication orders via text and voice. Validates inputs, requests missing details, and auto-generates orders in real time.
OCR-based pipeline converting faxed prescriptions into structured digital orders in real time. Eliminated manual processing with error-free automation.
Architected modern Lakehouse on GCS with Apache Iceberg and PySpark/Dataproc. Unified analytics, ACID transactions, and time-travel queries at scale.
Led large-scale cloud migration with zero data loss. Optimized cost and query performance while maintaining full data lineage and governance.
High-performance event streaming handling 10M+ events/sec. Powers real-time analytics, alerting, and downstream ML model serving.
Enterprise-grade Data Lake on Azure Blob Storage with Delta Lake + Databricks. Unified ingestion from microservices and SaaS platforms (Xero, HubSpot, Salesforce).
Low-latency real-time pipeline ingesting AWS EventBridge data into GCP using Dataflow + Apache Beam Java SDK for cross-cloud analytics.
Infrastructure as Code across GCP — standardized provisioning, environment consistency, automated deployments with quality gates and monitoring.
Unified data warehouse integrating 40+ hospitals across the Middle East. Harmonized clinical, financial, and operational data for cross-facility analytics.
Migrated 60M+ customer records from 20+ legacy systems to Teradata Vantage Cloud. Zero data loss, full integrity validation, seamless cutover.
Enterprise analytics platform serving 10,000+ users with tenant isolation, reducing report generation time by 75%. Secure data access and segregation.
Real-time data sync with Kafka, Azure Event Hubs, and Stream Analytics. Low-latency event processing powering operational dashboards and alerts.
Graph-based personalization using Neo4j. Leverages CRM data and behavioral interactions to deliver context-aware product suggestions at scale.
ML model forecasting clinic utilization to optimize doctor scheduling and resource allocation. Improved operational efficiency through data-driven workforce distribution.
Unified customer view enabling marketing, product, and support teams to deliver personalized, data-driven engagement across all touchpoints.
No-code drag-and-drop web app for marketing teams. Customer segmentation, campaign creation, and deployment — bridging tech and business.
AI-powered HR platform automating resume reviews, interview analysis, and psychometric testing. Streamlined recruiter decision-making at scale.
Self-service web portal for doctors — financial statements, shareholding, historical data. No-code interface built with Python Django for medical professionals.