AI Automation
Intelligent workflows that handle repetitive business processes with AI in the loop.
I build practical AI agents, n8n workflows, and business integrations—designed around the work your team actually needs to replace.

Mohamed Youssef Hamdy
AI Automation Specialist · Alexandria, Egypt
Systems shaped around your process—not a tool.
Intelligent workflows that handle repetitive business processes with AI in the loop.
Custom workflows with clean logic, error handling, and reliable data flow.
Conversational agents for WhatsApp, email, and internal tools that qualify and reply.
AI-assisted research and qualification that produces outreach-ready prospect lists.
Pipelines with automatic updates, tagging, stage tracking, and follow-up.
REST APIs, webhooks, and data transformations connecting business platforms.
Six highlighted systems from 50+ documented projects.
A WhatsApp agent that collects customer data, detects intent with RAG, answers questions, escalates complex cases, and logs full histories.
WhatsApp → RAG Agent → Airtable
A 30-minute market watcher that deduplicates disclosures, creates concise Arabic AI analysis, and emails traceable alerts.
Apify → Groq Analysis → Email
A four-stage system for personalized outreach, reply classification, timed follow-up, CRM updates, and proposal generation.
Outreach → CRM → Proposal
Applications are captured, validated, stored, and scored against the role with structured reasoning before human review.
Form → AI Scoring → Ranked Sheet
AI web research enriches each prospect and prepares a personalized first-touch email in a live tracking dashboard.
Lead List → Research → Draft
Scheduled scraping compares product data, records changes, and sends alerts when competitor prices move.
Scrape → Compare → Alert
Automation, programming, databases, and the people skills that make systems stick.
Operational thinking before technical implementation.
Map the manual process, pain points, tools, and business objective.
Define the architecture, integrations, AI logic, and workflow conditions.
Develop the system using n8n, APIs, AI, and the tools already in use.
Test edge cases, add error handling, and refine from real usage.
I'm a Computer Science student at Assiut University, self-taught in n8n, Python, SQL, and LLM integration. My part-time work as a physician's personal assistant gives me direct experience with the scheduling, records, and correspondence that automation must improve.
B.Sc. Computer & Information Science
Assiut University · 2024–2028
Personal Assistant to a Physician
Part-time · Jan 2024–Present
Scheduling, correspondence, confidential records, and workflow improvements.
400+ Codeforces problems solved
Algorithmic thinking and consistent problem-solving practice.
Tell me what your team is doing by hand. We can map the workflow and find the right automation.