IT student at Saudi Electronic University. I build useful, intelligent software.
Semester organiser for university students
A student's semester is a mess of dates: lectures, deadlines, exams and the admin around them. Termk pulls that into one place and keeps the week ahead in view. Still being built.
Arabic translation for lecture slides
Slide decks are where the terminology lives, and machine translation usually breaks it. This Telegram bot translates a deck into Arabic while keeping technical terms and context intact: a Cloudflare Worker takes the upload, queues the work, and hands back a translated PDF.
Live wind map for Saudi Arabia
Forecast data arrives every run and is drawn straight in the browser: millions of wind points moving in real time through WebGL2, with no server-side rendering step in the way.
Notes and tools for SEU courses
Everything I make for my own semester ends up here — course notes, question banks and small study tools, organised by level and course, kept public so classmates can use them too.
Study tools powered by agentic AI
A set of services that turn study material into something usable: translate a document, convert a format, extract structure — each one an agent doing a narrow job well rather than one model doing everything.
02.01 · Sep 2026
Remote·4 days
Four days on building agentic systems properly: how agents plan, use tools and get evaluated, and why their reasoning has to stay inspectable.
The camp ended with a capstone — a deep-research agent that shows the evidence behind every claim it makes.
Capstone: deep-research agent
Valid to 2029
Foundations of AI and machine learning on AWS: which service fits which problem, how to choose a model, and how to keep a use case responsible.
The next step: building generative AI applications on AWS properly — retrieval, evaluation and deployment.
| Title | Author | Progress |
|---|---|---|
| AI Agents in Action | Micheal Lanham | Reading now |
| The book under the current focus: agents that plan, use tools and act — read alongside building them. | ||
| Deep Learning with PyTorch | Eli Stevens · Luca Antiga · Thomas Viehmann | Chapter 2 of 8 |
| Working through it chapter by chapter to understand the models underneath the tools I use. | ||
Interests: Agentic AI · Mobile Applications · Digital Experiences · Currently building: Termk · Based in: Saudi Arabia
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