MentorLink
FastAPI, RAG, Docker, Cloud
I'm a
I'm Abdullah Fayed, an AI Engineer at AI MicroMind specializing in agentic workflows and RAG systems. I build production-ready AI solutions that automate complex tasks and transform data into actionable insights. With expertise in machine learning, API development, and vector search, I'm passionate about creating intelligent systems that solve real-world problems.
I'm an AI and ML engineer focused on building production-grade intelligent systems. I specialize in agentic workflows, retrieval-augmented generation (RAG), and scalable API development that transforms data into actionable insights.
Currently working as an Agentic AI Developer at AI MicroMind, I design and deploy AI agents that automate complex tasks and enhance decision-making processes. From implementing semantic search with vector databases to shipping full-stack ML applications, I thrive on turning innovative ideas into deployed solutions.
I'm pursuing my B.Sc. in Artificial Intelligence at Mansoura University, where I maintain a "Very Good" grade while actively contributing to the AI community as a mentor at CIS Team MU. My work spans competitive programming, machine learning research, and collaborative open-source development.
Core technologies and AI tooling I use to build scalable, production-ready systems.
Highlights from recent AI, ML, and software engineering roles alongside academic progress.
AI and ML Engineer at AI MicroMind specializing in agentic workflows, RAG systems, and scalable API development. I design and deploy production-grade AI agents that automate complex tasks and deliver actionable insights. Currently pursuing B.Sc. in Artificial Intelligence at Mansoura University (Very Good grade) while mentoring at CIS Team MU and contributing to competitive programming and open-source development.
AI MicroMind · Hybrid
Leading the design and development of production-grade agentic AI systems at AI MicroMind. Architecting and implementing intelligent agents that automate complex business workflows, integrate multiple APIs, and make autonomous decisions. Building RAG-powered applications using LangChain, vector databases (Pinecone, FAISS), and LLMs to deliver context-aware solutions. Developing scalable FastAPI backends with robust error handling and monitoring. Optimizing agent performance through prompt engineering, tool selection, and decision-making logic refinement. Collaborating with cross-functional teams to deploy AI solutions that drive measurable business impact.
Skills: Retrieval-Augmented Generation (RAG), Large Language Models (LLM)
AI MicroMind · Banha, Al Qalyubiyah, Egypt · On-site
Working on designing, developing, and testing AI agents, including integrating APIs, implementing decision making logic, and optimizing performance for real world tasks.
Skills: Retrieval-Augmented Generation (RAG), Large Language Models (LLM)
Information Technology Institute (ITI)
Intensive training program focused on generative AI technologies and applications.
Faculty of Computer & Information Sciences - Mansoura University
Participating in a practical machine learning training program focused on real-world applications. Developing and implementing ML models using Python and Scikit-learn. Collaborating with peers to build and deploy AI projects that solve real-life problems.
Skills: Machine Learning, Exploratory Data Analysis
National Telecommunication Institute (NTI)
Working extensively with real-world datasets on tasks such as preprocessing, cleaning, and feature engineering. Building ML models like: Linear Regression, Logistic Regression, Decision Trees, KNN, SVM, and Neural Networks.
Skills: Machine Learning, Data Processing
Mansoura University · Mansoura, Egypt
Focused on machine learning, data structures, and AI systems engineering. Grade: Very Good
CIS Team MU
Mentoring students in AI and machine learning concepts, guiding them through projects and helping them develop their technical skills.
CIS Team MU
Active member of the AI and Data Science team, participating in workshops, projects, and community events.
CIS Team MU
PR & FR member for CIS Team MU. Tasks include contacting speakers, organizing events, and raising funds to boost the team's revenue. Aiming to learn how to be an effective member and overcome fear of public speaking.
Selected projects from LinkedIn profile highlighting AI systems, ML applications, and software engineering work.
How I help teams design, build, and scale intelligent products.
I blend ML research, system design, and product thinking to deliver fast, reliable AI experiences for real users.
Start a ProjectBuild multi-step AI agents that automate tasks, orchestrate tools, and improve decision-making speed.
Design retrieval pipelines with Pinecone/FAISS to ground LLMs in trusted, scalable data.
Improve model accuracy through feature engineering, ensembles, and experiment tracking.
Ship fast, reliable FastAPI backends with well-structured endpoints for ML services.
Containerize, monitor, and scale AI systems with Docker, MLflow, and cloud tooling.
Highlights from competitions and problem-solving milestones.
Team '3okha we rabak yfokaha' secured 19th rank out of 500+ teams and qualified for the next stage in Cairo.
Team Notq – AI Therapy qualified among the Top 50 teams in the Huawei Developer Competition 2025 – HCDG Northern Africa.
Successfully completed the HCIA-AI V4.0 Course from Huawei ICT Academy-Egypt, achieving a score of 855/1000 in the final exam.
Reached Specialist rank on Codeforces with a rating of 1425, ranked #430 in Egypt and #19 in Mansoura. Competitive programming is a favorite side hobby that sharpens problem-solving skills.
Interested in collaborating or hiring? Let's talk about how I can help.
Reach out for AI product work, internships, or collaboration opportunities.
Cairo, Egypt
Open to remote opportunities
+20 1550930778 / +20 1020465979
WhatsApp available
abdallahfayed@std.mans.edu.eg
a76fayed@gmail.com
linkedin.com/in/abdullah-fayed
Tell me about your product goals, datasets, or research ideas.