Ahmad El Sayed

Second-year AI student with a very strong foundation in Data Science — statistics, machine learning, and end-to-end data pipelines — turning research into shipped products: a mental-health app serving 500 users and lead-qualification automations running for real-estate teams.

Founder & Lead Developer at Independent (2025-01 – Present)

AI Mental-Health App — independent project. Designed and shipped a conversational support app; scaled to 500 active users with no paid acquisition.

• Built the full stack — LLM prompt & safety layer, session memory, journaling, and on-device privacy controls.
• Iterated on retention loops and crisis-handling flows informed by user feedback and clinical reading.

AI Automation Engineer (Contract) at Multiple firms (2024-01 – 2025-01)

Real-Estate Lead Qualification — multiple firms. Built an end-to-end lead-qualification system: inbound capture → LLM scoring → CRM routing.

• Cut sales-team triage time and surfaced high-intent leads earlier in the funnel.
• Integrated WhatsApp, web forms and meta-ads sources; tuned scoring against agent feedback.

BSc in Artificial Intelligence & Data Science – New Giza University — School of Information Technology (2024-09 – 2028-06)