Applying for CS admission — Winter Semester 2027, Germany
Experimental Sciences graduate with a 20.0/20.0 average, now writing Python and Rust tooling while I prepare for computer science admission at TUM, RWTH Aachen and KIT. Everything below is verifiable.
About
I finished my Experimental Sciences diploma with a 20.0/20.0 average and immediately went looking for the part of science that lets you build things. That turned out to be systems programming. I now spend most of my time in a Linux terminal writing Python and learning Rust, because I want to understand machines at the level where the abstractions stop hiding things.
My goal is specific: a BSc in Computer Science at a German technical university — TUM, RWTH Aachen or KIT. I chose Germany deliberately, for the depth of its engineering tradition and the fact that its universities expect you to actually understand the mathematics. I’ve been learning German for that reason and currently sit at B2.
Outside of that I train calisthenics and play competitive volleyball. Both taught me the same thing programming did: you get good at something by doing the boring repetitions long after the novelty wears off.
Academics
Secondary education, Iranian national curriculum
Final average 20.0 / 20.0, the maximum on the Iranian grading scale — approximately 1.0 on the German scale, subject to formal evaluation by anabin / uni-assist. Core coursework in mathematics, physics, chemistry and biology.
SAT · IELTS Academic · Goethe-Institut track
SAT completed. IELTS Academic taken (C1–C2 range). German at B2, working toward the C1 level most German-taught CS programmes require.
TU München · RWTH Aachen · KIT · TU Berlin
Applying for Winter Semester 2027 entry. Preparing through the Studienkolleg / TestAS route where required, and building the mathematics foundation those programmes assume from day one.
Skills
Work
Live · Open source
Python · CLI
asyncio for parallel probes.
Directions
None of these exist yet. They are the problems I want to spend a degree learning enough to attack properly.
Continuous biometric monitoring from a single hand-contact sensor, so the gap between clinic visits stops being a blind spot. The interesting problem is signal quality: how much can you actually infer from palm-contact photoplethysmography before the noise floor wins? That is a signal-processing question I don’t yet have the mathematics for.
A Python and computer-science education channel aimed at learners in regions where good technical material in their own language is scarce. I learned most of what I know from free resources; this is the part I can pay back before I’m qualified to do anything else.
Regional AI compute infrastructure for markets currently dependent on distant hyperscalers. The constraint that interests me is latency and data residency — where inference has to physically happen, and what that costs. Distributed-systems territory, which is exactly what I want to study.
Competitive calisthenics and volleyball. I mention them because they are the same skill as programming under a different name: showing up for the unglamorous repetitions, and staying calm when a situation stops going to plan.
Contact
I reply to everything within 24 hours. If you’re an admissions officer, a professor, or someone with a project I could help on — write to me.