01
THE INTELLIGENCE QUESTION
AI &
machine learning
How do useful AI systems work, how should they handle failure, and what makes an output trustworthy?
COMPUTER ENGINEERING · SHIRAZ, IRAN NO. 001
Curiosity,
in progress.
I’m studying computer engineering and following the questions that branch out from it: algorithms, AI, operating systems, open source, music, and how software can be a creative medium.
Current chapter: learning the fundamentals and getting better at finishing small things.
SCROLL FOR THE THREADHONEST BY DESIGN
01 / INTEREST CONSTELLATION
Four doors.
No false expertise.
These areas keep pulling my attention. They’re a map of what I want to understand, not a list of subjects I claim to have mastered.
AI &
02
THE FOUNDATIONS
Algorithms
& mathematics
Learning to explain why something works, analyze its cost, and connect abstract ideas to working code.
03
THE MACHINE ROOM
Linux, systems
& open source
Exploring the layers under everyday software: environments, virtualization, interfaces, and developer tools.
04
THE CREATIVE CIRCUIT
Sound, visuals
& interaction
Music and digital art are hobbies; computational creativity is where those interests meet technology.
ON THE DESK RIGHT NOW
01Linear algebra
02Fundamentals of algorithms
03Programming + web development
Foundations first.
Buzzwords later.
Buzzwords later.
01.5 / THE QUESTIONS UNDERNEATH
Not just what.
But why?
Collecting questions is easy. Learning enough to answer one carefully is the point.
NOT A RESEARCH LAB
JUST A PLACE TO START
JUST A PLACE TO START
01AI & reliability
What happens when a model is uncertain, a service goes offline, or the demonstration meets an inconvenient real-world input?
RELIABILITY / EVALUATION / TOOL DESIGN02Algorithms & foundations
Can I explain the idea before reaching for an implementation? What changes as the input grows?
REASONING / COMPLEXITY / MATHEMATICS03Systems & open source
How do the tools beneath an interface behave, and what makes software easier for another person to run and understand?
LINUX / TOOLING / REPRODUCIBILITY04Art & computation
How might sound, rhythm, color, and interaction become part of the same computational canvas?
MUSIC / VISUAL SYSTEMS / CREATIVE CODE02 / PUBLIC REPOSITORY SHELF
The workbench.
In its actual state.
A live index of public repositories, not a wall of self-awarded project medals. Coursework, experiments, archived ideas, and unfinished work may all appear here.
Loading public repositories…
Waiting for GitHub API
Live metadata is unavailable right now. Showing the last cached or bundled snapshot instead.
NOTE / 01
The language chip comes from GitHub’s repository metadata. It is not a measure of the author's proficiency. For project maturity, inspect the repository itself.
Open GitHub ↗03 / OFF-SCREEN FREQUENCIES
The other tabs
are part of me, too.
A computer science profile that pretends the rest of life does not exist is a very efficient way to be boring.
01 / SOUND
Music production
FL Studio, Ableton Live, arrangement, and sound design. Still a hobby, and a good reason to care about how tools feel.
MAKE / LISTEN / REPEAT02 / LISTENING
ELECTRONICNU-METALJAZZPROG ROCKRAPIRANIAN MUSIC
Wide listening range
Different genres solve different moods. The playlist has no committee and no sensible boundaries.
NO SINGLE GENRE POLICY03 / VISUALS
Digital art & aesthetics
Visual experiments, expressive interfaces, strong color, and the odd satisfaction of a well-composed screen.
SHAPE / COLOR / CONTRAST04 / TINKERING
Linux & virtualization
Operating systems, virtual machines, and exploring tools by taking them apart carefully.
UNDERSTAND THE LAYERSEND / STILL OPEN
Interest starts it.
Finished work proves it.
I’m building a foundation one concept and one small experiment at a time. The plan is to keep learning, explain things clearly, and turn more ideas into work that other people can actually inspect.