AI / ML Engineering Student — AI Agents • LLMs • UI/UX
Second-year Data Science student at JUST. I work at the intersection of engineering, intelligence and design — not as three separate skills, but as one continuous loop. Each informs the other.
Interfaces are not decoration. They are how intelligence becomes understandable, trustworthy and humane.
I build the backend that makes AI reliable — structured, observable, and ready for the real world.
From data to decisions — training, orchestrating and evaluating agents that plan, use tools and learn.
A conceptual view of how I think about agentic AI — an autonomous loop of context, reasoning, planning, tools and feedback. No chain-of-thought exposed, just the architecture made visible.
User goal, memory, environment and constraints captured as structured context.
Retrieval, knowledge graph and real-time signals ground the agent in reality.
Tasks are split, risks assessed, and a plan is formed with verifiable steps.
The agent selects tools, APIs and local LLMs to execute each sub-goal.
APIs, code, search and databases are called — results streamed and validated.
Outputs are checked, errors corrected, and the loop continues until done.
A designed result — clear, actionable and beautifully presented.
Each project is a world you can hover, tilt and enter. The visuals are not decoration — they explain the architecture.
ReTour is a cross-border AI platform for sustainable tourism, built within a consortium of Jordan, Cyprus, Greece, Italy, Lebanon and Türkiye. I lead AI & backend — designing an agentic system that plans dynamic, personalized itineraries with local LLMs.
StudyHub turns messy student input into a structured study workflow — AI planner, agent, timers and progress tracking in one full-stack architecture. Designed as a system that feels calm, not cluttered.
Built for IEEE ML Competition / Hackathon 2.0. Focused on regression, data preprocessing and rapid ML experimentation to surface hidden patterns — with careful validation and no invented metrics.
Instead of claiming UI/UX, I built a playground. Hover, focus, toggle and feel the micro-interactions — this section is a live design system.
Great AI is invisible until it meets a human. I obsess over that meeting point — the micro-interactions, transitions, depth and clarity that make intelligence feel trusted.
No badge wall. Skills appear through interaction — hover to highlight, see how they connect. Each group is a layer of the same system.
Leading AI & backend for an international consortium (6 countries). Architecting an agentic travel system with local LLMs, dynamic planning, tools and backend services. Shipping with engineers across Jordan, Cyprus, Greece, Italy, Lebanon and Türkiye.
Designed and built an AI productivity OS for students — from idea to deployed product. AI planner, agent, timers, progress and auth in a single coherent experience.
Competed with Neurix — deep ML experimentation focused on regression and hidden pattern discovery. Emphasis on clean preprocessing, validation and iteration — no invented results.
Jordan University of Science and Technology, Irbid. Second-year student with focus on AI engineering, agents and human-centered design.
After the intensity, a pause. If you're building AI that needs to feel human — an agent, a product, a system — I'd love to explore it with you.
Irbid, Jordan • B.Sc. Data Science, JUST • Open to collaborations