AI Engineer with 4+ years in AI, Automation & Workflow, Python & Data Engineering.
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Automation and Al workflow engineer with end-to-end delivery across n8n, Python, and Google Workspace. Shipped five production systems solo: a 4-stage data pipeline maintaining 400,000+ records, a Xero-integrated SaaS cash flow engine, a live market data pipeline with automated bad-tick rejection, an Al lead qualification engine, and a zero-touch e-commerce fulfillment orchestrator. Comfortable owning the full automation lifecycle: architecture, API integration, error handling, deployment, and monitoring. Bilingual Arabic/English; 4+ years remote across UK and US clients; strong async communicator.
Abbasia Higher Institute for Computers and Business Sciences
Bachelor of Commerce · Management Information Systems
August 1, 2019 – June 30, 2023
Freelance
AI Operations & Automation Specialist
October 1, 2025 – Present
India
ATW Ltd
Data & Operations Specialist
April 1, 2025 – October 1, 2025
India
Concentrix Egypt
Sales Analyst, Microsoft Azure
May 1, 2024 – February 1, 2025
India
Transcom Egypt
Travel Operations Agent, TUI UK
August 1, 2021 – May 1, 2024
India
AI Lead Qualification Pipeline
June 7, 2026 – Present
Engineered an event-driven AI qualification engine that scores inbound leads against a defined Ideal Customer Profile using an LLM, routing qualified prospects to HubSpot and triggering Slack alerts within seconds of form submission, zero manual intervention in the primary path. Implemented deterministic routing logic with a parallel error-handling layer: API timeouts, malformed payloads, and auth failures fire a P1 Slack alert with full payload context within seconds of failure. Built contact enrichment via Hunter.io to validate email addresses and append SMTP verification before scoring, preventing wasted outreach on invalid leads.
Zero-Touch Fulfillment Architecture
June 7, 2026 – Present
Built a three-track order orchestration pipeline handling payment verification, CRM upsert, and warehouse notification end-to-end with sub-200ms trigger latency and zero human touchpoints in the primary fulfillment path. Engineered automated dunning logic that buffers failed Stripe payment intents for one hour and re-verifies automatically, recovering revenue from transient failures without staff involvement. Implemented a search-then-upsert CRM pattern on every order event, enforcing a single authoritative HubSpot record per customer with accurate LTV tracking, eliminating duplicate contacts and manual data cleaning.
LeadSignal
June 7, 2026 – Present
Built a 4-stage automated pipeline (scraping, validation, deduplication, normalization) running 12 times daily, maintaining 400,000+ clean business records from Google Maps with zero manual intervention. Diagnosed and resolved a data integrity bug at root cause (stale DOM reads and globally-scoped XPath queries), fixing the source rather than patching symptoms. Served clean data through a live Flask query interface on Vercel, backed by Supabase with row-level storage and quota management.
View ProjectEdgePulse
June 7, 2026 – Present
Engineered a daily scheduled data pipeline ingesting gold (GC=F) and USD Index (DX=F) from Yahoo Finance, with instrument-specific fallback logic and bad-tick rejection to enforce data quality on every ingestion cycle. Deployed a public React dashboard with full historical data visibility, automated via GitHub Actions with bounds validation and a multi-source fallback chain to handle malformed ticks without pipeline interruption.
View ProjectCash Runway
June 7, 2026 – Present
Built a production SaaS application integrating with Xero via OAuth 2.0 to pull live invoices, bills, and bank balances, generating automated 60-day cash flow projections with risk classification. Implemented HMAC webhook verification and OAuth token refresh handling to ensure secure, uninterrupted data sync. Full-stack delivery: NextAuth, Google OAuth, Supabase, and conservative projection logic to prevent misleading outputs.
View ProjectCultural Fit Analysis
The candidate's project diversity, ranging from AI lead qualification to zero-touch fulfillment and financial projections, indicates adaptability and a broad interest in applying automation and AI across different business domains. Their freelance experience and work with various clients (UK and US) suggest comfort with diverse work environments and a self-starter mentality. The role alignment with 'AI Engineer' is strong given their direct experience with AI workflow pipelines and prompt engineering. The breadth of skills, including automation tools, programming languages, databases, and frontend technologies, further supports a good cultural fit for a dynamic technical role.
Soft Skills & Operational Fit
The candidate demonstrates strong async communication skills, a disciplined approach to data, and the ability to work remotely effectively. Their experience in establishing data automation functions from scratch and delivering projects end-to-end indicates a proactive and results-oriented work attitude. The re-engineering of an AppSheet solution to Google Apps Script highlights resourcefulness and problem-solving under constraints. However, the psychometric test score suggests potential areas for development in logical reasoning, stress handling, or team collaboration.