Abdelrahman
Eslam Omar
Computer & Data Science student at Alexandria University building AI agents, LLM applications, and RAG systems. Interested in AI research, particularly agentic AI, LLMs, and intelligent systems. Currently seeking AI/ML internships and research opportunities.
Who I Am
About Me
Bridging data foundations with modern agentic intelligence and LLM engineering.
I'm Abdelrahman Eslam Omar, a Computer & Data Science student at Alexandria University (Class of 2028) with a strong passion for AI research and intelligent systems.
I enjoy building AI agents, LLM applications, and RAG systems, while exploring how models, tools, memory, and retrieval can work together to create reliable, self-improving AI workflows.
Currently undergoing specialized training in NLP and Autonomous Agents, I am actively seeking AI/ML internships and research collaborations where I can solve high-impact engineering challenges.
Based in Alexandria, Egypt. Available for on-site, hybrid, and remote opportunities worldwide.
AI Agents & LLMs
Architecting multi-step autonomous workflows, prompt engineering, and tool-augmented reasoning.
RAG & Knowledge Retrieval
Developing scalable vector retrieval, semantic search, and context-grounded pipelines.
Machine Learning
End-to-end ML pipelines achieving high predictive accuracy (96% R²) with deep feature engineering.
AI Research
Studying foundation model architectures, attention mechanisms, and reproducible evaluations.
Capabilities
Technical Skills
Core technologies, frameworks, and engineering methodologies in my daily stack.
Programming
AI & LLMs
Machine Learning
Backend & Systems
Data Engineering
Engineering & DevOps
Showcase
Featured Projects
From production ML pipelines to AI agent prototypes and data science notebooks.
Curiosity & Inquiry
Research Interests
Domains I actively study, replicate papers in, and aim to contribute to through research.
Natural Language Processing
Understanding how models process, interpret, and generate nuanced human language with attention mechanisms.
Large Language Models
Studying foundation model architectures, efficient inference, tool-use protocols, and structured fine-tuning.
Deep Learning Foundations
Building neural architectures from mathematical ground principles, studying loss surfaces and gradient propagation.
Interested in Research Collaboration?
If you're working on open research in agentic workflows, RAG optimizations, or empirical ML evaluations, I'd welcome the chance to collaborate.
Get In TouchAcademic Foundations
Education
Practical Journey
Experience & Training
Insights & Notes
Recent Articles
Writings and technical reflections on machine learning, agentic systems, and data pipelines.
Connect
Contact Me
Whether exploring internships, research collaborations, or technical discussions — reach out anytime.
Let's start a conversation
I am actively seeking AI/ML internships, research positions, and open-source contributions. I typically respond within 24 hours.