Munich, DE — B.Sc. Informatics

Adam Yahmadi

Computer Science student at TU Munich.
Focused on scientific computing, machine learning, and infrastructure.

adam.yahmadi@tum.de GitHub LinkedIn
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About

I'm a Computer Science student at the Technical University of Munich, with experience drawn from both academic research and self-directed engineering. I'm drawn to problems where rigorous mathematical concepts meet practical implementation.

My interests revolve around machine learning, scientific computing, and low-level system design. I am most engaged when turning theory into functional systems that perform reliably in the real world.

Outside of university coursework, I actively maintain a Proxmox homelab, build local LLM infrastructure, and continually refine my understanding of robust software architecture. I learn fastest by shipping code.

LocationMunich, DE
DegreeB.Sc. Informatics
FocusML & SciComp
LanguagesDE, EN, AR, FR
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Experience & Education

SS 2026
Software: Python and Data Analytics
Data Mining Seminar · TU Munich
A comprehensive survey of Python's scientific ecosystem (pandas, NumPy, SciPy, scikit-learn). Examined how these libraries compose into a single iterative workflow spanning data preparation, modeling, and evaluation. Included a runnable Dash dashboard demonstrating an end-to-end analytical pipeline.
Read the paper
WS 25/26
Motion Planning for Autonomous Vehicles
Chair of Robotics & Real-Time Systems · TU Munich
Engineered a computer-vision pipeline extracting road-user trajectories from drone footage into CommonRoad scenarios. Integrated TPH-YOLOv5 for detection, MobileSAM for segmentation, and implemented automated drivability validation checking for kinematic feasibility and collision avoidance.
Read the paper
2024–2025
Driving Strategy Engineer
TUfast Eco Team · TU Munich
Developed a solver-agnostic optimization framework to compute energy-optimal speed profiles for the lux025 solar vehicle (Bridgestone World Solar Challenge 2025). Modeled physical constraints including battery SoC, solar irradiance, and aerodynamic drag across interchangeable solvers (IPOPT, ALPSO, Gurobi).
2023–Present
B.Sc. Informatics
Technical University of Munich
Core coursework spanning data structures, computer architecture, autonomous systems, and advanced numerical analysis.
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Selected Projects

Cache Simulator
C++, SystemC
Cycle-accurate simulator with direct-mapped and fully-associative caches, LRU eviction, and per-access gate count tracking.
wifi-to-qr
Python, CLI
Terminal utility that detects the current active Wi-Fi connection and generates a scannable QR code for instant joining.
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Toolkit

Languages

Python, C, C++, Java, R, JavaScript

Infrastructure & Tools

Linux, Docker, Git, Proxmox, Ollama

Frameworks

PyTorch, TensorFlow, NumPy, OpenCV, FastAPI, Spring Boot

Focus Areas

Machine Learning, Scientific Computing, Optimization, Systems Programming