d
davidmansourrr

David M

@davidmansourrr

AI Automation Engineer

Egito
Inglês, Árabe, Francês
Algumas informações são exibidas no idioma inglês.
Sobre mim
I help businesses and individuals automate repetitive work, connect their tools, and build practical AI-powered workflows. I can help with: - n8n workflow design and automation - AI and LLM integrations - API integrations and webhook automation - Google Forms, Sheets, and Drive workflows - Automated data processing and reporting - Backend APIs using Node.js and Express - PostgreSQL, Supabase, Redis, and SQLite integrations - RAG and AI-powered information retrieval workflows - Debugging and improving existing automations... Saiba mais

Habilidades

d
davidmansourrr
David M
offline • 
Tempo médio de resposta: 1 hora

Conheça meus serviços

Implementação e Implantação de IA
I will automate your business workflow
A partir deUS$ 15 /projetoMais detalhes

Experiência profissional

Facebook

AI Automation Engineering Trainee

Facebook • Meio período

Jun 2026 - Present • 4 mos

Training in AI automation and workflow engineering through the Digital Egypt Pioneers Initiative (DEPI), with hands-on experience using n8n to design automated workflows, integrate APIs and webhooks, connect Google Workspace tools, and build AI-powered solutions using LLMs. Completed practical projects involving data processing, form automation, AI agents, and business workflow automation, alongside professional freelancing and communication training.

Flyrank_AI

Backend AI Engineering Intern

Flyrank AI • Meio período

Jul 2026 - Aug 2026 • 1 mo

Interned at FlyRank AI as an AI intern, focusing on Backend AI Engineering. Responsibilities included developing backend systems to support AI functionalities and participating in engineering sprints to deliver AI-driven features.

Sprints

AI Engineering Intern - Scrum Master

Sprints • Meio período

Jun 2026 - Jul 2026 • 1 mo

Developed structured-output pipelines for JSON timelines and designed prompt-engineering workflows for LLM outputs. Built RAG foundation components including document chunking, embedding generation, and vector storage using ChromaDB. Implemented test coverage with pytest and maintained code quality using ruff and pyright.